60 Datahub Jobs

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Consulting - Data and Analytics – GIG - Data Modeller EY's Consulting Services is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional and technical capabilities and product knowledge. EY’s financial services practice provides integrated Consulting services to financial institutions and other capital markets participants, including commercial banks, retail banks, investment banks, broker-dealers & asset management firms, and insurance firms from leading Fortune 500 Companies. Within EY’s Consulting Practice, Data and Analytics team solves big, complex issues and capitalize on opportunities to deliver better working outcomes that help expand and safeguard the businesses, now and in the future. This way we help create a compelling business case for embedding the right analytical practice at the heart of client’s decision-making. T he opportunity We’re looking for a candidate with 3-7 years of expertise in data science, data analysis and visualization skills.Act as Technical Lead to a larger team in EY GDS DnA team to work on various Data and Analytics projects Your Key Responsibilities Lead and mentor a team throughout design, development and delivery phases and keep the team intact on high pressure situations. Work as a Senior team member to contribute in various technical streams EY DnA implementation project. Client focused with good presentation, communication and relationship building skills. Completion of assigned tasks on time and regular status reporting to the lead Collaborate with technology team and support the development of analytical models with the effective use of data and analytic techniques and validate the model results and articulate the insights to the business team Interface and communicate with the onsite teams directly to understand the requirement and determine the optimum solutions Create technical solutions as per business needs by translating their requirements and finding innovative solution options Provide product and design level functional and technical expertise along with best practices Get involved in business development activities like creating proof of concepts (POCs), point of views (POVs), assist in proposal writing and service offering development, and capable of developing creative power point content for presentations Participate in organization-level initiatives and operational activities Ensure continual knowledge management and contribute to internal L&D teams Building a quality work culture and Foster teamwork and lead by example Skills and attributes for success Use an issue-based approach to deliver growth, market and portfolio strategy engagements for corporates Strong communication, presentation and team building skills and experience in producing high quality reports, papers, and presentations. Experience in executing and managing research and analysis of companies and markets, preferably from a commercial due diligence standpoint To qualify for the role, you must have BE/BTech/MCA/MBA with 3+ years of industry experience with machine learning, visualization, data science and related offerings. At least around 3+ years of experience in BI and Analytics. To be have ability to do end to end data solutions from analysis, mapping, profiling, ETL architecture and data modelling. Knowledge and experience of at least 1 Insurance domain engagement life or Property n Causality. Understanding of Business Intelligence, Data Warehousing and Data Modelling. Good experience using CA Erwin or other similar modelling tool is absolute must. Experience of working in Guidewire DataHub & InfoCenter skills. Strong knowledge of relational and dimensional data modelling concepts Develop logical and physical data flow models for ETL applications. Translate data access, transformation and movement requirements into functional requirements and mapping designs. Strong knowledge of data architecture, database structure , data analysis and SQL skills Experience in data management analysis. Analyse business objectives and evaluate data solutions to meet customer needs. Establishing scalable, efficient, automated processes for large scale data analyses and management Prepare and analyse historical data and identify patterns To collaborate with technology team and support the development of analytical models with the effective use of data and analytic techniques. To validate the model results and articulate the insights to the business team. Drive the Business requirements gathering for analytics projects Intellectual curiosity - eagerness to learn new things Experience with unstructured data is added advantage Ability to effectively visualize and communicate analysis results Experience with big data and cloud preferred Experience, interest and adaptability to working in an Agile delivery environment. Ability to work in a fast-paced environment where change is a constant and ability to handle ambiguous requirements Exceptional interpersonal and communication skills (written and verbal) Ideally, you’ll also have Good exposure to any ETL tools. Good to have knowledge about P&C insurance. Understanding of Business Intelligence, Data Warehousing and Data Modelling. Must have led a team size of at least 4 members. Experience in Insurance and Banking domain Prior Client facing skills, Self-motivated and collaborative What We Look For A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY Consulting practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Consulting - Data and Analytics – GIG - Data Modeller EY's Consulting Services is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional and technical capabilities and product knowledge. EY’s financial services practice provides integrated Consulting services to financial institutions and other capital markets participants, including commercial banks, retail banks, investment banks, broker-dealers & asset management firms, and insurance firms from leading Fortune 500 Companies. Within EY’s Consulting Practice, Data and Analytics team solves big, complex issues and capitalize on opportunities to deliver better working outcomes that help expand and safeguard the businesses, now and in the future. This way we help create a compelling business case for embedding the right analytical practice at the heart of client’s decision-making. T he opportunity We’re looking for a candidate with 3-7 years of expertise in data science, data analysis and visualization skills.Act as Technical Lead to a larger team in EY GDS DnA team to work on various Data and Analytics projects Your Key Responsibilities Lead and mentor a team throughout design, development and delivery phases and keep the team intact on high pressure situations. Work as a Senior team member to contribute in various technical streams EY DnA implementation project. Client focused with good presentation, communication and relationship building skills. Completion of assigned tasks on time and regular status reporting to the lead Collaborate with technology team and support the development of analytical models with the effective use of data and analytic techniques and validate the model results and articulate the insights to the business team Interface and communicate with the onsite teams directly to understand the requirement and determine the optimum solutions Create technical solutions as per business needs by translating their requirements and finding innovative solution options Provide product and design level functional and technical expertise along with best practices Get involved in business development activities like creating proof of concepts (POCs), point of views (POVs), assist in proposal writing and service offering development, and capable of developing creative power point content for presentations Participate in organization-level initiatives and operational activities Ensure continual knowledge management and contribute to internal L&D teams Building a quality work culture and Foster teamwork and lead by example Skills and attributes for success Use an issue-based approach to deliver growth, market and portfolio strategy engagements for corporates Strong communication, presentation and team building skills and experience in producing high quality reports, papers, and presentations. Experience in executing and managing research and analysis of companies and markets, preferably from a commercial due diligence standpoint To qualify for the role, you must have BE/BTech/MCA/MBA with 3+ years of industry experience with machine learning, visualization, data science and related offerings. At least around 3+ years of experience in BI and Analytics. To be have ability to do end to end data solutions from analysis, mapping, profiling, ETL architecture and data modelling. Knowledge and experience of at least 1 Insurance domain engagement life or Property n Causality. Understanding of Business Intelligence, Data Warehousing and Data Modelling. Good experience using CA Erwin or other similar modelling tool is absolute must. Experience of working in Guidewire DataHub & InfoCenter skills. Strong knowledge of relational and dimensional data modelling concepts Develop logical and physical data flow models for ETL applications. Translate data access, transformation and movement requirements into functional requirements and mapping designs. Strong knowledge of data architecture, database structure , data analysis and SQL skills Experience in data management analysis. Analyse business objectives and evaluate data solutions to meet customer needs. Establishing scalable, efficient, automated processes for large scale data analyses and management Prepare and analyse historical data and identify patterns To collaborate with technology team and support the development of analytical models with the effective use of data and analytic techniques. To validate the model results and articulate the insights to the business team. Drive the Business requirements gathering for analytics projects Intellectual curiosity - eagerness to learn new things Experience with unstructured data is added advantage Ability to effectively visualize and communicate analysis results Experience with big data and cloud preferred Experience, interest and adaptability to working in an Agile delivery environment. Ability to work in a fast-paced environment where change is a constant and ability to handle ambiguous requirements Exceptional interpersonal and communication skills (written and verbal) Ideally, you’ll also have Good exposure to any ETL tools. Good to have knowledge about P&C insurance. Understanding of Business Intelligence, Data Warehousing and Data Modelling. Must have led a team size of at least 4 members. Experience in Insurance and Banking domain Prior Client facing skills, Self-motivated and collaborative What We Look For A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY Consulting practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Consulting - Data and Analytics – GIG - Data Modeller EY's Consulting Services is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional and technical capabilities and product knowledge. EY’s financial services practice provides integrated Consulting services to financial institutions and other capital markets participants, including commercial banks, retail banks, investment banks, broker-dealers & asset management firms, and insurance firms from leading Fortune 500 Companies. Within EY’s Consulting Practice, Data and Analytics team solves big, complex issues and capitalize on opportunities to deliver better working outcomes that help expand and safeguard the businesses, now and in the future. This way we help create a compelling business case for embedding the right analytical practice at the heart of client’s decision-making. T he opportunity We’re looking for a candidate with 3-7 years of expertise in data science, data analysis and visualization skills.Act as Technical Lead to a larger team in EY GDS DnA team to work on various Data and Analytics projects Your Key Responsibilities Lead and mentor a team throughout design, development and delivery phases and keep the team intact on high pressure situations. Work as a Senior team member to contribute in various technical streams EY DnA implementation project. Client focused with good presentation, communication and relationship building skills. Completion of assigned tasks on time and regular status reporting to the lead Collaborate with technology team and support the development of analytical models with the effective use of data and analytic techniques and validate the model results and articulate the insights to the business team Interface and communicate with the onsite teams directly to understand the requirement and determine the optimum solutions Create technical solutions as per business needs by translating their requirements and finding innovative solution options Provide product and design level functional and technical expertise along with best practices Get involved in business development activities like creating proof of concepts (POCs), point of views (POVs), assist in proposal writing and service offering development, and capable of developing creative power point content for presentations Participate in organization-level initiatives and operational activities Ensure continual knowledge management and contribute to internal L&D teams Building a quality work culture and Foster teamwork and lead by example Skills and attributes for success Use an issue-based approach to deliver growth, market and portfolio strategy engagements for corporates Strong communication, presentation and team building skills and experience in producing high quality reports, papers, and presentations. Experience in executing and managing research and analysis of companies and markets, preferably from a commercial due diligence standpoint To qualify for the role, you must have BE/BTech/MCA/MBA with 3+ years of industry experience with machine learning, visualization, data science and related offerings. At least around 3+ years of experience in BI and Analytics. To be have ability to do end to end data solutions from analysis, mapping, profiling, ETL architecture and data modelling. Knowledge and experience of at least 1 Insurance domain engagement life or Property n Causality. Understanding of Business Intelligence, Data Warehousing and Data Modelling. Good experience using CA Erwin or other similar modelling tool is absolute must. Experience of working in Guidewire DataHub & InfoCenter skills. Strong knowledge of relational and dimensional data modelling concepts Develop logical and physical data flow models for ETL applications. Translate data access, transformation and movement requirements into functional requirements and mapping designs. Strong knowledge of data architecture, database structure , data analysis and SQL skills Experience in data management analysis. Analyse business objectives and evaluate data solutions to meet customer needs. Establishing scalable, efficient, automated processes for large scale data analyses and management Prepare and analyse historical data and identify patterns To collaborate with technology team and support the development of analytical models with the effective use of data and analytic techniques. To validate the model results and articulate the insights to the business team. Drive the Business requirements gathering for analytics projects Intellectual curiosity - eagerness to learn new things Experience with unstructured data is added advantage Ability to effectively visualize and communicate analysis results Experience with big data and cloud preferred Experience, interest and adaptability to working in an Agile delivery environment. Ability to work in a fast-paced environment where change is a constant and ability to handle ambiguous requirements Exceptional interpersonal and communication skills (written and verbal) Ideally, you’ll also have Good exposure to any ETL tools. Good to have knowledge about P&C insurance. Understanding of Business Intelligence, Data Warehousing and Data Modelling. Must have led a team size of at least 4 members. Experience in Insurance and Banking domain Prior Client facing skills, Self-motivated and collaborative What We Look For A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY Consulting practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

About BlitzenX: At BlitzenX, we empower businesses by leveraging cutting-edge technology to drive transformation, innovation, and operational efficiency. Joining our Managed Services team offers an opportunity to collaborate across diverse teams, helping clients implement, optimize, and maintain enterprise solutions that enhance business performance. Role Overview: As a Senior Quality Analyst within our Guidewire Application Evolution Services team , you will support our clients in maximizing the value of their Guidewire investments. You will play a pivotal role in managing and transforming their insurance solutions, including PolicyCenter, BillingCenter, ClaimCenter, and Guidewire Analytics. You will contribute to BlitzenX's commitment to delivering seamless operations, enabling organizations to capitalize on technology advancements, streamline processes, and achieve long-term business success. Responsibilities Collaborate with cross-functional teams to address complex business challenges from strategy to execution. Design and execute manual and automated test plans, test scripts, and cases based on project objectives. Conduct system, integration, functional, data validation, and user acceptance testing. Identify areas for improvement and proactively contribute to enhancing processes and solutions. Leverage test automation tools to streamline test cycles, ensuring quality and efficiency. Analyze application logs, troubleshoot issues, and validate test scenarios for Guidewire applications. Validate XML and JSON payloads from integration message queues within Guidewire modules. Work closely with business and IT stakeholders to create robust end-to-end test scenarios. Key Skills & Expertise Guidewire Expertise: Hands-on experience in QA testing for Guidewire applications, including PolicyCenter, BillingCenter, and ClaimCenter. Technical Proficiency: Strong knowledge of SOAP UI, XML coding, JSON validation, and SQL. Test Automation: Proficient in automation tools like JIRA, Rally, Client-QC, VSTS, or TFS. Functional Knowledge: Experience in validating custom configurations such as pay plans, delinquency flows, rating, roles, permissions, and integration testing. Problem-Solving: Strategic thinking to address technical and business challenges with actionable solutions. Qualifications Bachelor's degree and 7+ years of experience in QA testing and Application Managed Services. Proven expertise in managing Guidewire projects and functional lead roles, with a focus on achieving on-time, on-budget delivery. Extensive experience with OOTB Guidewire functionality and client customizations for P&C insurance companies. Familiarity with ITIL processes, SLA tracking, and contracting. Preferred Technologies Guidewire Suite: PolicyCenter, BillingCenter, ClaimCenter, Datahub, Forms, Contact Manager Languages and Frameworks: GOSU, Guidewire Event & Rules Framework Test Automation Tools: SOAP UI, XML, JSON Why Join BlitzenX? At BlitzenX, we are purpose-driven and value-led in everything we do. Our global leadership framework provides employees with a clear roadmap to build skills, grow their careers, and thrive in a dynamic, evolving industry. We embrace a hybrid work model, offering flexibility with in-person, remote, and hybrid working options. BlitzenX is proud to be an equal opportunity employer committed to fostering an inclusive environment for all employees. Show more Show less

Job Description Support the day-to-day operations of these GCP-based data pipelines, ensuring data governance, reliability, and performance optimization. Hands-on experience with GCP data services such as Dataflow, BigQuery, Dataproc, Pub/Sub, and real-time streaming architectures is preferred.The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.This role requires a flexible working schedule, including potential weekend support for critical operations, while maintaining a 40-hour work week. A key aspect of the MDLZ DataHub Google BigQuery platform is handling the complexity of inbound data, which often does not follow a global design (e.g., variations in channel inventory, customer PoS, hierarchies, distribution, and promo plans). You will assist in ensuring the robust operation of pipelines that translate this varied inbound data into the standardized o9 global design. This also includes managing pipelines for different data drivers (> 6 months vs. 0-6 months), ensuring consistent input to o9. '6+ years of overall industry experience and minimum of 6-8 years of experience building and deploying large scale data processing pipelines in a production environment Focus on excellence: Has practical experience of Data-Driven Approaches, Is familiar with the application of Data Security strategy, Is familiar with well know data engineering tools and platforms Technical depth and breadth : Able to build and operate Data Pipelines, Build and operate Data Storage, Has worked on big data architecture within Distributed Systems. Is familiar with Infrastructure definition and automation in this context. Is aware of adjacent technologies to the ones they have worked on. Can speak to the alternative tech choices to that made on their projects. Implementation and automation of Internal data extraction from SAP BW / HANA Implementation and automation of External data extraction from openly available internet data sources via APIs Data cleaning, curation and enrichment by using Alteryx, SQL, Python, R, PySpark, SparkR Preparing consolidated DataMart for use by Data Scientists and managing SQL Databases Exposing data via Alteryx, SQL Database for consumption in Tableau Data documentation maintenance/update Collaboration and workflow using a version control system (e.g., Git Hub) Learning ability : Is self-reflective, Has a hunger to improve, Has a keen interest to drive their own learning. Applies theoretical knowledge to practice Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.Data engineering Concepts: Experience in working with data lake, data warehouse, data mart and Implemented ETL/ELT and SCD concepts. ETL or Data integration tool: Experience in Talend is highly desirable. Analytics: Fluent with SQL, PL/SQL and have used analytics tools like Big Query for data analytics Cloud experience: Experienced in GCP services like cloud function, cloud run, data flow, data proc and big query. Data sources: Experience of working with structure data sources like SAP, BW, Flat Files, RDBMS etc. and semi structured data sources like PDF, JSON, XML etc. Flexible Working Hours: This role requires the flexibility to work non-traditional hours, including providing support during off-hours or weekends for critical data pipeline job runs, deployments, or incident response, while ensuring the total work commitment remains a 40-hour week. Data Processing: Experience in working with any of the Data Processing Platforms like Dataflow, Databricks. Orchestration: Experience in orchestrating/scheduling data pipelines using any of the tools like Airflow and Alteryx Keep our data separated and secure across national boundaries through multiple data centers and Azure regions. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. Work with data and analytics experts to strive for greater functionality in our data systems. Skills And Experience Deep knowledge in manipulating, processing, and extracting value from datasets; Atleast 2 years of FMCG/CPG industry experience. + 5 years of experience in data engineering, business intelligence, data science, or related field; Proficiency with Programming Languages: SQL, Python, R Spark, PySpark, SparkR, SQL for data processing; Strong project management skills and ability to plan and prioritize work in a fast-paced environment; Experience with: MS Azure Data Factory, MS Azure Data Lake Store, SQL Database, SAP BW/ ECC / HANA, Alteryx, Tableau; Ability to think creatively, highly-driven and self-motivated; Knowledge of SAP BW for HANA (Extractors, Transformations, Modeling aDSOs, Queries, OpenHubs) No Relocation support available Business Unit Summary Headquartered in Singapore, Mondelēz International’s Asia, Middle East and Africa (AMEA) region is comprised of six business units, has more than 21,000 employees and operates in more than 27 countries including Australia, China, Indonesia, Ghana, India, Japan, Malaysia, New Zealand, Nigeria, Philippines, Saudi Arabia, South Africa, Thailand, United Arab Emirates and Vietnam. Seventy-six nationalities work across a network of more than 35 manufacturing plants, three global research and development technical centers and in offices stretching from Auckland, New Zealand to Casablanca, Morocco. Mondelēz International in the AMEA region is the proud maker of global and local iconic brands such as Oreo and belVita biscuits, Kinh Do mooncakes, Cadbury, Cadbury Dairy Milk and Milka chocolate, Halls candy, Stride gum, Tang powdered beverage and Philadelphia cheese. We are also proud to be named a Top Employer in many of our markets. Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Job Type Regular Analytics & Modelling Analytics & Data Science Show more Show less

Job Description Looking for a savvy Data Engineer to join team of Modeling / Architect experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.This role requires a flexible working schedule, including potential weekend support for critical operations, while maintaining a 40-hour work week. In this role, you will assist in maintaining the MDLZ DataHub Google BigQuery data pipelines and corresponding platforms (on-prem and cloud), working closely with global teams on DataOps initiatives. The D4GV platform spans across three key GCP instances: NALA, MEU, and AMEA, supporting the global rollout of o9 across all Mondelēz BUs over the next three years 5+ years of overall industry experience and minimum of 2-4 years of experience building and deploying large scale data processing pipelines in a production environment Focus on excellence: Has practical experience of Data-Driven Approaches, Is familiar with the application of Data Security strategy, Is familiar with well know data engineering tools and platforms Technical depth and breadth : Able to build and operate Data Pipelines, Build and operate Data Storage, Has worked on big data architecture within Distributed Systems. Is familiar with Infrastructure definition and automation in this context. Is aware of adjacent technologies to the ones they have worked on. Can speak to the alternative tech choices to that made on their projects. Implementation and automation of Internal data extraction from SAP BW / HANA Implementation and automation of External data extraction from openly available internet data sources via APIs Data cleaning, curation and enrichment by using Alteryx, SQL, Python, R, PySpark, SparkR Data ingestion and management in Hadoop / Hive Preparing consolidated DataMart for use by Data Scientists and managing SQL Databases Exposing data via Alteryx, SQL Database for consumption in Tableau Data documentation maintenance/update Collaboration and workflow using a version control system (e.g., Git Hub) Learning ability : Is self-reflective, Has a hunger to improve, Has a keen interest to drive their own learning. Applies theoretical knowledge to practice Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. Flexible Working Hours: This role requires the flexibility to work non-traditional hours, including providing support during off-hours or weekends for critical data pipeline job runs, deployments, or incident response, while ensuring the total work commitment remains a 40-hour week. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. Work with data and analytics experts to strive for greater functionality in our data systems. Skills And Experience Deep knowledge in manipulating, processing, and extracting value from datasets; support the day-to-day operations of these GCP-based data pipelines, ensuring data governance, reliability, and performance optimization. Hands-on experience with GCP data services such as Dataflow, BigQuery, Dataproc, Pub/Sub, and real-time streaming architectures is preferred. + 5 years of experience in data engineering, business intelligence, data science, or related field; Proficiency with Programming Languages: SQL, Python, R Spark, PySpark, SparkR, SQL for data processing; Strong project management skills and ability to plan and prioritize work in a fast-paced environment; Experience with: MS Azure Data Factory, MS Azure Data Lake Store, SQL Database, SAP BW/ ECC / HANA, Alteryx, Tableau; Ability to think creatively, highly-driven and self-motivated; Knowledge of SAP BW for HANA (Extractors, Transformations, Modeling aDSOs, Queries, OpenHubs) No Relocation support available Business Unit Summary Headquartered in Singapore, Mondelēz International’s Asia, Middle East and Africa (AMEA) region is comprised of six business units, has more than 21,000 employees and operates in more than 27 countries including Australia, China, Indonesia, Ghana, India, Japan, Malaysia, New Zealand, Nigeria, Philippines, Saudi Arabia, South Africa, Thailand, United Arab Emirates and Vietnam. Seventy-six nationalities work across a network of more than 35 manufacturing plants, three global research and development technical centers and in offices stretching from Auckland, New Zealand to Casablanca, Morocco. Mondelēz International in the AMEA region is the proud maker of global and local iconic brands such as Oreo and belVita biscuits, Kinh Do mooncakes, Cadbury, Cadbury Dairy Milk and Milka chocolate, Halls candy, Stride gum, Tang powdered beverage and Philadelphia cheese. We are also proud to be named a Top Employer in many of our markets. Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Job Type Regular Analytics & Modelling Analytics & Data Science Show more Show less

Vacancy for CFIN Non-SAP Functional Consultant with deep functional understanding of financial processes and extensive hands-on experience in integrating non-SAP source systems into SAP Central Finance (CFIN) using Magnitude/Datahub. This role focuses on enabling replication of financial data (FI/CO) from legacy or third-party ERP systems to SAP S/4HANA Central Finance. Primary responsibilities: Collaborate with cross-functional teams to understand the source system architecture and financial data flow. Design and implement end-to-end non-SAP system integrations to SAP CFIN using Magnitude/Datahub. Configure and manage replication of financial documents (GL, AP, AR, CO, etc.) from non-SAP systems to SAP CFIN. Ensure data mapping, data harmonization, and data transformation aligns with SAP CFIN requirements. Support ongoing operations and resolve issues related to data inconsistencies, failed replications, and error handling. Lead or participate in workshops, requirement gathering sessions, and technical/functional documentation eWorts. Collaborate with the CFIN project team (SAP, Middleware, Source System SMEs) for smooth data integration. Perform impact analysis and support testing cycles (unit testing, SIT, UAT) for all integration scenarios. Work with Magnitude support or internal teams to troubleshoot and optimize performance or configuration. Required Qualifications & Skills: Minimum 7 years of experience in IT/Finance domain with at least 4 years in CFIN projects. Hands-on experience integrating non-SAP ERPs (Oracle, JDE, Peoplesoft, etc.) to SAP CFIN using Magnitude/Datahub. Strong understanding of financial master data and transactional data replication in CFIN. Sound knowledge of source system extractors, interface design, and error handling in Datahub. Functional understanding of SAP FI/CO modules and their equivalents in non-SAP systems. Experience with mapping and reconciliation between source systems and SAP S/4HANA CFIN. Familiarity with SLT, AIF (Application Interface Framework), and error resolution processes in SAP CFIN landscape. Job Types: Full-time, Permanent Pay: Up to ₹250,882.89 per month Benefits: Cell phone reimbursement Commuter assistance Internet reimbursement Leave encashment Life insurance Paid sick time Paid time off Work Location: In person Speak with the employer +91 8591763426

Project Role : Business Analyst Project Role Description : Analyze an organization and design its processes and systems, assessing the business model and its integration with technology. Assess current state, identify customer requirements, and define the future state and/or business solution. Research, gather and synthesize information. Must have skills : Guidewire DataHub Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary As a Business Analyst, you will analyze an organization and design its processes and systems, assessing the business model and its integration with technology. Your typical day will involve collaborating with various stakeholders to understand their needs, conducting thorough research to gather relevant data, and synthesizing this information to propose effective business solutions. You will also assess the current state of operations and identify areas for improvement, ensuring that the future state aligns with organizational goals and customer requirements. Your role will be pivotal in bridging the gap between business needs and technological capabilities, ultimately driving efficiency and innovation within the organization. Roles & Responsibilities Expected to be an SME. Collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Facilitate workshops and meetings to gather requirements and feedback from stakeholders. Develop and maintain comprehensive documentation to support project initiatives. Professional & Technical Skills Must To Have Skills: Proficiency in Guidewire DataHub. Strong analytical skills to assess business processes and identify areas for improvement. Experience with data modeling and data integration techniques. Ability to communicate complex ideas clearly and effectively to diverse audiences. Familiarity with project management methodologies and tools. Additional Information The candidate should have minimum 5 years of experience in Guidewire DataHub. This position is based at our Bengaluru office. A 15 years full time education is required. 15 years full time education About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces™.Join Accenture to work at the heart of change. Visit us at www.accenture.com Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Show more Show less

Job Description Are you ready to make an impact at DTCC? Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the forefront of innovation in the financial markets. We're committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve. Pay And Benefits Competitive compensation, including base pay and annual incentive Comprehensive health and life insurance and well-being benefits Pension Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee). The Impact You Will Have In This Role The Development family is responsible for crafting, designing, deploying, and supporting applications, programs, and software solutions. May include research, new development, prototyping, modification, reuse, re-engineering, maintenance, or any other activities related to software products used internally or externally on product platforms supported by the firm. The software development process requires in-depth domain expertise in existing and emerging development methodologies, tools, and programming languages. Software Developers work closely with business partners and / or external clients in defining requirements and implementing solutions. The Application Support Engineering role specializes in maintaining and providing technical support for all applications that are beyond the development stage and are running in the daily operations of the firm. Works closely with development teams, infrastructure partners, and internal / external clients to bring up and resolve technical support incidents. Your Primary Responsibilities Verify analysis performed by team members and implement changes required to prevent reoccurance of incidents Resolve Critical application alerts in a timely fashion including production defects, providing business impact and analysis to teams, handling minor enhancements as needed Review and update knowledge articles and runbooks with application development teams to confirm information is up to date Collaborate with internal teams to provide answers to application issues and escalate to as needed Validate and submit responses to requests for information from onging audits NOTE: The Primary Responsibilities of this role are not limited to the details above. Qualifications Minimum 8+ years of related experience Bachelor's degree (preferred) or equivalent experience Talents Needed For Success Minimum of 8+ years of related experience in Application Support. Bachelor's degree preferred or equivalent experience. Solid Experience in Application Support. Hands on experience in Unix, Linux, Windows, SQL/PLSQL Familiarity working with relational databases (DB2, Oracle, Snowflake) Monitoring and Data Tools experience (Splunk, DynaTrace, Thousand Eyes, Grafana, Selenium, HiPam IBM Zolda) Cloud Technologies (AWS services (S3, EC2, Lambda, SQS, IAM roles), Azure, OpenShift, RDS Aurora, Postgress) Scheduling Tool experience (CA AutoSys, Control-M) Scripting languages (Bash, Python, Ruby, Shell, Perl, JavaScript) Hands on experience with ETL tools (Informatica Datahub/IDQ, Talend) Strong problem-solving skills with the ability to think creatively. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Show more Show less

Job Title: Senior Enterprise Data Architect 📍 Location: Remote (India Only) 🕒 Employment Type: Full-Time About the Role: We are seeking a highly experienced and strategic Enterprise Data Architect to lead and manage data architecture initiatives aligned with our client’s Data & Analytics strategy. In this role, you will be instrumental in defining, governing, and optimizing enterprise data assets to support advanced analytics, secure data usage, and improved decision-making across the organization. You will be responsible for designing scalable data models, supporting ETL/data teams, and driving architectural best practices across systems. This is a hands-on leadership role ideal for someone with deep technical knowledge and strong stakeholder engagement capabilities. Key Responsibilities: Influence and align with the client’s Data & Analytics Strategy . Design and implement scalable data models and architectures , including dimensional models, data vaults, star schemas, and snowflake schemas . Create and present data mapping documents to ETL and testing teams for implementation. Utilize Visio , Erwin , or similar tools for logical and physical data modeling. Collaborate with data architects, analysts, and stakeholders to gather and validate requirements. Lead and manage multiple concurrent projects and initiatives from start to completion. Conduct enterprise data modeling and contribute to data governance and architecture practices. Optimize DataHub performance, ensure data integrity , and enhance data security and compliance . Support integration with business intelligence and reporting tools to surface actionable insights. Required Qualifications: Bachelor’s degree in Computer Science , Information Systems, or a related field. 6 to 10 years of total IT experience, with at least 3+ years in data architecture or enterprise data modeling roles. Proven expertise in database design , including transactional modeling , dimensional modeling , and data vault architectures . Strong proficiency in data modeling tools (e.g., Erwin, Visio). Experience working with cross-functional teams and managing data initiatives end-to-end. Preferred Skills & Experience: Hands-on experience implementing data governance and analytics programs . Familiarity with cloud data platforms (AWS, Azure, or GCP) is a plus. Knowledge of Oracle Analytics or other enterprise reporting platforms is desirable. Soft Skills: Strategic and analytical thinker with strong problem-solving abilities . Effective communicator with the ability to influence stakeholders at all levels. High emotional intelligence , adaptability, and a proactive mindset. Committed to delivery excellence , collaboration, and continuous improvement. Why Join Us? Join a globally respected team and contribute to transforming enterprise data into actionable insights. You’ll play a key role in building scalable data solutions that drive business performance while working in a remote-friendly and innovation-driven environment. Show more Show less

BlitzenX is seeking a strategic Senior Director to lead our Guidewire Go-To-Market (GTM) Delivery Team , driving end-to-end execution across technical onboarding, early delivery, and strategic account growth for every new Guidewire client. You will lead our initial 6-member cross-functional GTM pod — consisting of a Project Manager, Technical Leads for PolicyCenter (PC), BillingCenter (BC), and ClaimCenter (CC), a Senior Business Architect, and QA Engineers — acting as the anchor point for early-stage delivery and long-term revenue expansion. This is a build-operate-scale role at the intersection of delivery, client success, and business growth — ideal for senior professionals with a unique blend of technical expertise , sales intuition , and operational rigor . Key Responsibilities Strategic GTM & Alliances Leadership Define and scale a GTM playbook combining delivery excellence with alliance-oriented growth tactics. Lead the end-to-end onboarding and mobilization of new Guidewire accounts — from project initiation to value realization within the first 180 days. Build a network of internal and external stakeholders (Sales, Practice, Alliance partners, internal marketing and delivery teams) to drive joint account planning and demand generation—such as webinars, client roundtables, and industry events (themuse.com). Develop relationship maps, assess account potential, and execute plans to nurture strategic partnerships supporting joint offerings (jobs.us.pwc.com). Drive strategic planning to transform each new account into a scalable, high-value client relationship. Track and report pipeline and ROI resulting from joint activities to leadership. Sales & Account Expansion Partner with Sales, Practice Leadership, and Client Partners to grow each new Guidewire client into a double-digit ($MM) revenue account within the first year. Identify opportunities for cross-sell and upsell across Guidewire modules (PC, BC, CC, Digital, DataHub, etc.) and surrounding ecosystems. Lead solutioning and estimation for new proposals, SOWs, and change requests with a focus on driving value-based pricing. Act as the face of BlitzenX during early commercial conversations — aligning delivery capabilities with client roadmap ambitions. Build executive relationships and identify early champions within the client to foster trust and long-term partnership potential. Delivery & Account Growth Own full cycle: onboarding (Day 0‑180), technical delivery, and embed account expansion targets. Ensure each new Guidewire client achieves double-digit growth within the first year. Align delivery capabilities with broader client roadmaps and partnership-led upsell paths (Digital, DataHub, Integrations). Lead presales effort with solutioning, estimation, and value-based pricing for SOWs and change requests. Team Formation & Enablement Recruit and coach the GTM pod; ramp up talent capability across delivery and commercial readiness. Execute enablement programs (internal and client-facing) to build delivery awareness and support joint commercial strategies (themuse.com). Technical & Operational Excellence Lead technical governance across PC/BC/CC, integration strategies, DevOps, and cloud deployment. Implement sprint discipline, QA gateways, backlog stability, risk mitigation, and margin tracking. Stakeholder Engagement & Reporting Act as the executive face for clients — conducting delivery health checks, steerco reviews, and commercial touchpoints. Serve as escalation authority to maintain trust and remove delivery/commercial blockers. Team Formation & Talent Development Build and mentor the foundational GTM team with a focus on readiness, accountability, and velocity. Drive performance management, capability uplift, and transition planning as accounts move from GTM to steady-state delivery. Align delivery pods with market demand, client complexity, and geographic strategy. Technical Oversight Lead architectural and implementation planning across PolicyCenter, BillingCenter, ClaimCenter, and cloud-native Guidewire solutions. Oversee technical quality, integration strategy, DevOps enablement, and best practice enforcement across sprint cycles. Ensure scalability of solutions with an eye on long-term maintainability and extension potential. Operational Excellence Own governance, onboarding checklists, sprint execution discipline, and first-90-day delivery milestones. Define and implement operational KPIs (velocity, QA pass rate, backlog stability, team utilization) and continuously optimize for margin and impact. Drive delivery assurance across multiple accounts simultaneously, ensuring resource allocation and escalation paths are solid. Required Qualifications Technical & Delivery Mastery 8+ years in Guidewire (PC, BC, CC) with architecture-level exposure; completed multi-stream large-scale implementations. Strong understanding of Guidewire’s cloud model, APIs (REST/SOAP), DevOps pipelines, and P&C domain structure. Ability to guide solutioning, technical debt management, cloud migration, and data modernization strategies. Sales, Alliances & Commercial Acumen Proven track record of growing Guidewire or tech-focused clients to $1M+ ARR or double-digit growth in Year 1. Experience managing alliance/go-to-market partnerships, enabling pipeline development, demand gen campaigns, joint events, and enablement sessions Deep understanding of commercial levers: staffing models, SOW writing, pricing structures, value articulation. Skilled in client-facing proposal development, RFP responses, and solution shaping in pre-sales cycles. Able to speak both “delivery language” and “business value language” fluently to technical and non-technical stakeholders. Leadership & Operational Aptitude Minimum 6 years leading geographically dispersed delivery teams with combined delivery and commercial responsibilities. Ability to establish governance, KPIs (velocity, QA pass rates, utilization), and optimized operational processes. Strong communication and stakeholder management skills—comfortable influencing C‑level execs, clients, and cross‑functional teams. Nice to Have Experience in high-growth consulting/SI or scale-up environments. Familiarity with non-Guidewire platforms (Duck Creek, MuleSoft) and technical alliance ecosystems. Certifications: Guidewire, Partner Enablement, GTM Strategy, or related credentials. What’s In It For You Full ownership to lead GTM delivery and growth for new logos in one of the most strategic verticals at BlitzenX. End-to-end ownership of the GTM lifecycle for Guidewire—delivery, growth, and alliance execution. High visibility collaborative role across Sales, Practice, Delivery, Marketing, and external ecosystem. Pioneering position in shaping BlitzenX’s Guidewire GTM strategy and structure in a performance-driven environment. Influence the future of the Guidewire practice — from org structure and delivery frameworks to sales strategy. A platform to showcase your ability to deliver outcomes and grow business, backed by a high-performance, no-excuses culture. Show more Show less

About the Team Come help us build the world's most reliable on-demand, logistics engine for delivery! We're bringing on experienced engineers to help us further our 24x7, global infrastructure system that powers DoorDash's three-sided marketplace of consumers, merchants, and dashers. About the Role The Data Tools mission is to build robust data platforms and establish policies that guarantee the analytics data is of high quality, easily accessible/cataloged, and compliant with financial and privacy regulations, fostering trust and confidence in our data-driven decision-making process. We are building the Data Tools team in India and you will have an opportunity to be part of a founding team with a greater opportunity for impact where you can help grow the team and shape the roadmap for the data platform at DoorDash. You will report directly to the Data Tools Engineering Manager. You're excited about this opportunity because you will… Work on building a data discovery platform, privacy frameworks, unified access control frameworks, and data quality platform to enable data builders at DoorDash to deliver high-quality and trustable data sets and metrics Help accelerate the adoption of the data discovery platform by building integrations across online, analytics platforms and promoting self-serve Come up with solutions for scaling data systems for various business needs Collaborate in a dynamic startup environment We're excited about you because… B.E./B.Tech., M.E./M.Tech, or Ph.D. in Computer Science or equivalent 6+ years of experience with CS fundamental concepts and experience with at least one of the programming languages of Scala, Java, and Python Prior technical experience in Big Data infrastructure & governance - you've built meaningful pieces of data infrastructure. Bonus if those were open-sourced technologies like DataHub, Spark, Airflow, Kafka, Flink Experience improving efficiency, scalability, and stability of data platforms Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024. The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey About DoorDash At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks. Our Commitment to Diversity and Inclusion We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. If you need any accommodations, please inform your recruiting contact upon initial connection. About DoorDash At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks. Our Commitment to Diversity and Inclusion We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. If you need any accommodations, please inform your recruiting contact upon initial connection. We use Covey as part of our hiring and/or promotional process for jobs in certain locations. The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144 To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection. Show more Show less

At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. As a Guidewire developer at PwC, you will specialise in developing and customising applications using the Guidewire platform. Guidewire is a software suite that provides insurance companies with tools for policy administration, claims management, and billing. You will be responsible for designing, coding, and testing software solutions that meet the specific needs of insurance organisations. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills. As part of the Guidewire Testing team you engage in quality assurance processes to maintain the integrity and functionality of software solutions. As a Senior Associate you analyze complex problems, mentor others, and uphold elevated standards. You focus on building client relationships and developing a deeper understanding of the business context, while navigating increasingly complex situations to grow your personal brand and technical proficiency. Responsibilities Analyze client requirements Review estimates and suggest updates Complete design and execute test cases in a timely fashion Support development team and client queries Participate in scrum calls and provide status reports Take part in CoE activities, trainings, recruitments as required and interested What You Must Have Candidate should have Guidewire/ any Property & Casualty insurance product/Guidewire testing/ Portal/Billing center/Claim center/Rating/Policy center Candidates should be open to work in shifts Candidate should have good communication skills and be a quick learner Candidate with Automation skill is plus Candidate with Webservices testing skills is plus Candidate with Database testing knowledge is plus Candidate with DataHub and InfoCenter knowledge is plus Scrum or SAFe or other Agile delivery ways Excellent communication skills (verbal and written), good interpersonal skills, ability to understand/expand requirements & technical specs What Sets You Apart BTech/BE/MTech/MS/MCA/MBA/B.Sc/M.Sc Developing and maintaining IT systems architecture Evaluating end-to-end integrated systems Recommending action plans for system improvements Utilizing creative thinking and problem-solving skills Building collaborative relationships with clients Providing guidance to less experienced staff Conducting quantitative and qualitative analyses Familiarity with Automation concepts Working experience in implementing Guidewire Suite solutions Show more Show less

CONTEXTE NeoXam, éditeur de logiciels de Data, Fund et Risk Management dédié au secteur de la banque et de la finance, en forte croissance et parmi les leaders sur son domaine, recherche un Développeur Java Confirmé pour soutenir sa forte croissance et accélérer son développement tant en Europe qu’en Amérique du Nord et en Asie. MISSIONS Au sein de la R&D du produit NX DataHub, en tant qu’Ingénieur Développement Java, vous êtes chargé de la réalisation des études et des développements des évolutions et de la maintenance du produit NX DataHub. En tant que membre d’une équipe agile Scrum, vous prendrez en charge, en grande autonomie, les tâches de conception, de développement et de test, tout en étant force de proposition sur l’architecture technique et fonctionnelle des solutions. Vous respectez les normes de développement R&D : normes de codage, sécurité, processus de gestion des sources et documentation. Vous interviendrez sur des sujets à la fois très techniques (large panel de technologies issues du monde java) mais aussi très fonctionnels. En plus de votre activité principale de conception et de développement, votre rôle sera également : De participer à l’amélioration du produit en particulier sur les aspects performances et robustesse (Gestion de gros volumes de données, faibles latences) D’assurer le support sur des problématiques très techniques PROFIL Ecole d'ingénieur, BAC + 5 ou équivalent Minimum 2 ans en développement Java Une expérience dans le domaine de la finance de marché ou idéalement du domaine de Data Management serait un plus Vous possédez impérativement des connaissances techniques solides en JAVA et en dev orienté objet Design Pattern Java Messaging Stack JS, HTML, CSS Webservices SOAP / REST Vous savez analyser, concevoir, développer des logiciels ayant des contraintes de fonctionnement fortes (robustesse, performances etc…) Optimisations applicatives: Tuning applicatif, Profiling et monitoring Web Application servers (Tomcat / JBoss / WebSphere) SGBD : Oracle ou Sybase ou SQL Server OS : Unix et Windows maitrisés NOUS PROPOSONS Un poste en CDI Des bureaux agréables dans le technopôle de Tunis Un environnement innovant et moderne utilisant les dernières technologies du moment La possibilité de vous exprimer sur l'intégralité du processus Une ambiance de travail agréable où l'esprit d'équipe est clé Un package compétitif composé de : fixe + bonus individuel Et bien plus…

About The Role We are seeking a highly skilled and hands-on Senior Data Scientist with 7+ years of experience to lead the design and implementation of robust machine learning pipelines and drive data-driven decision making across the organization. This role requires a strategic thinker who can bridge the gap between complex data science concepts and practical business solutions, while ensuring model integrity, explainability, and compliance in production environments. As a Senior Data Scientist, you will have end-to-end ownership of the model life cycle, from data ingestion and feature engineering to model deployment, monitoring, and governance. Youll work closely with AI engineers, product teams, and stakeholders to deliver high-impact solutions that drive business value. Key Responsibilities Machine Learning & Predictive Modeling : Design and build sophisticated predictive models using Scikit-learn, XG Boost, LightGBM, and CatBoost for various use cases. Develop advanced forecasting models using Prophet, ARIMA, and neural forecasting techniques for time series analysis. Implement anomaly detection systems and risk scoring models for fraud detection and security applications Create recommendation systems and personalization algorithms using collaborative filtering and deep learning approaches AI Integration & Pipeline Development Collaborate with AI engineers to integrate traditional ML components into LangChain and LLM-driven intelligent systems Design hybrid architectures that combine classical ML with generative AI for enhanced business solutions Develop evaluation frameworks for comparing traditional ML and LLM based approaches Implement retrieval systems that enhance LLM performance with domain specific knowledge Model Lifecycle Management Automate comprehensive model lifecycle processes including training, validation, deployment, and rollback procedures Implement continuous training pipelines using MLFlow, Kubeflow, and Weights & Biases Design and maintain model monitoring systems for drift detection, performance degradation, and data quality issues Establish model governance frameworks ensuring reproducibility and auditability Data Validation & Quality Assurance Lead the development of pre-model and post-model validation frameworks using DeepChecks, Great Expectations, and custom validation rules Implement fairness and bias detection systems using Fairlearn and custom algorithmic auditing tools Design comprehensive data quality monitoring and alerting systems Conduct statistical testing and hypothesis validation for model performance claims Compliance & Security Ensure PII protection and DPDP compliance through secure data preprocessing and anonymization techniques Implement synthetic data generation pipelines using Gretel.ai and other privacy-preserving technologies Design policy-driven access controls and data governance frameworks using Apache Griffin and DataHub Conduct privacy impact assessments and implement differential privacy techniques where applicable Model Explainability & Auditing Develop comprehensive model explainability frameworks using SHAP, LIME, and custom interpretation tools Conduct reasoning-based walkthroughs and accuracy audits for deployed models Perform bias analysis and fairness assessments across different demographic groups Design and implement A/B testing frameworks for model performance evaluation Data Engineering & Pipeline Architecture Design and implement scalable ETL/ELT pipelines using Apache Spark, Flink, and modern data processing frameworks Leverage Redis for intelligent caching strategies and real-time feature serving Implement streaming data processing using Apache Kafka, RabbitMQ, and event-driven architectures Optimize data pipeline performance and ensure data consistency across distributed systems (ref:hirist.tech) Show more Show less

LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. As part of our world-class software engineering team, you will be charged with building the next-generation infrastructure and platforms for LinkedIn, including but not limited to: an application and service delivery platform, massively scalable data storage and replication systems, cutting-edge search platform, best-in-class AI platform, experimentation platform, privacy and compliance platform etc. You will drive the technology vision and create business impact by putting to use your passion for very large-scale distributed systems and software as services and your passion for writing code that performs at an extreme scale. LinkedIn has already pioneered well-known open-source infrastructure projects like Apache Kafka, Pinot, Azkaban, Samza, Venice, Datahub, Feather, etc. We also work with industry standard open-source infrastructure products like Kubernetes, GRPC and GraphQL - come join our infrastructure teams and share the knowledge with a broader community while making a real impact within our company. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together. Responsibilities: - You will build and ship software, drive architectural decisions and implementation across the BigData ecosystem that includes data processing pipelines, pubsub systems, observability, compliance, etc. - You will design the right interfaces/APIs for long term evolution of the services. - You will be responsible for the high availability, reliability, scalability and performance of these systems - You will actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies. - You will invest in growing junior engineers, developing design and craftsmanship skills and culture. - You will lead cross team/cross functional discussions and drive alignment on product/technology strategy. You will work closely with other stakeholders in HeadQuarters to drive intra-team alignment. - You will be a primary domain expert to influence technology choices. Basic Qualifications: - BA/BS Degree or higher in Computer Science or related technical discipline, or related practical experience - 18+ years of programming experience in Java, C++or similar programming languages - 18+ years' experience building large-scale distributed systems, applications or similar experience Preferred Qualifications: - MS or PhD in Computer Science or related technical discipline. - 18+ years of relevant work experience. - Experience with strategic planning, executing on a long-term roadmap, team development and scaling processes to support business growth. - Designing and building infrastructure and backend services at internet scale. - Building and shipping high quality work while achieving high reliability. - Utilizing data and analysis in articulating technical problems and in arriving at recommendations and solutions. - Leading high-impact cross-org initiatives - Expertise in BigData systems like Apache Hadoop, Spark, Iceberg etc is highly desirable Suggested Skills: - BigData technologies - Large-scale distributed systems - Communication You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. India Disability Policy LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal Show more Show less

Pune About Us We empower enterprises globally through intelligent, creative, and insightful services for data integration, data analytics and data visualization. Hoonartek is a leader in enterprise transformation, data engineering and an acknowledged world-class Ab Initio delivery partner. Using centuries of cumulative experience, research and leadership, we help our clients eliminate the complexities & risk of legacy modernization and safely deliver big data hubs, operational data integration, business intelligence, risk & compliance solutions and traditional data warehouses & marts. At Hoonartek, we work to ensure that our customers, partners and employees all benefit from our unstinting commitment to delivery, quality and value. Hoonartek is increasingly the choice for customers seeking a trusted partner of vision, value and integrity How We Work? Define, Design and Deliver (D3) is our in-house delivery philosophy. It’s culled from agile and rapid methodologies and focused on ‘just enough design’. We embrace this philosophy in everything we do, leading to numerous client success stories and indeed to our own success. We embrace change, empowering and trusting our people and building long and valuable relationships with our employees, our customers and our partners. We work flexibly, even adopting traditional/waterfall methods where circumstances demand it. At Hoonartek, the focus is always on delivery and value. Job Description We are seeking a proactive and technically strong Site Reliability Engineer (SRE) to ensure the stability, performance, and scalability of our Data Engineering Platform. You will work on cutting-edge technologies including Cloudera Hadoop, Spark, Airflow, NiFi, and Kubernetes—ensuring high availability and driving automation to support massive-scale data workloads, especially in the telecom domain. Key Responsibilities • • Ensure platform uptime and application health as per SLOs/KPIs • • Monitor infrastructure and applications using ELK, Prometheus, Zabbix, etc. • • Debug and resolve complex production issues, performing root cause analysis • • Automate routine tasks and implement self-healing systems • • Design and maintain dashboards, alerts, and operational playbooks • • Participate in incident management, problem resolution, and RCA documentation • • Own and update SOPs for repeatable processes • • Collaborate with L3 and Product teams for deeper issue resolution • • Support and guide L1 operations team • • Conduct periodic system maintenance and performance tuning • • Respond to user data requests and ensure timely resolution • • Address and mitigate security vulnerabilities and compliance issues Technical Skillset • • Hands-on with Spark, Hive, Cloudera Hadoop, Kafka, Ranger • • Strong Linux fundamentals and scripting (Python, Shell) • • Experience with Apache NiFi, Airflow, Yarn, and Zookeeper • • Proficient in monitoring and observability tools: ELK Stack, Prometheus, Loki • • Working knowledge of Kubernetes, Docker, Jenkins CI/CD pipelines • • Strong SQL skills (Oracle/Exadata preferred) • • Familiarity with DataHub, DataMesh, and security best practices is a plus SHIFT - 24/7

About This Role Position Overview: BlackRock is seeking a highly skilled and motivated Associate to support its growing and dynamic data stewardship function. In this role, you will be responsible for ensuring that data products are accurately defined, compliant with data governance policies, and delivered effectively to meet business needs. You will work closely with cross-functional teams—including business stakeholders, technical teams, and external vendors—to manage the full lifecycle of data products from ideation to delivery. The ideal candidate will have at least 4 years of experience in data stewardship, data governance, and data modeling, and will thrive in a fast-paced, results-driven environment. Key Responsibilities As an Associate Data Steward, your responsibilities will span several key areas: Business & Strategic Acumen: You will collaborate closely with business units to understand evolving data requirements and align data products to meet strategic goals and objectives. You will ensure that data products support various use cases, such as operational efficiencies, risk management, and commercial applications, while defining success criteria for data offerings in collaboration with key stakeholders. Data Governance & Quality: A core aspect of this role is managing data quality through the application of robust data governance controls. You will be responsible for monitoring data health, implementing data quality metrics, and ensuring that data products meet established standards for accuracy, completeness, and consistency. Regular assessments of data sources and processes will be part of your ongoing responsibilities to identify deficiencies and opportunities for improvement. Data Product Lifecycle Management: You will support the full delivery lifecycle of data products, from ideation to release. This includes working with cross-functional teams—such as product managers, engineers, and business stakeholders—to plan, design, and deliver data products. In addition, you will contribute to the design and creation of conceptual, logical, and physical data models to ensure that data products meet business requirements. Requirements Gathering & Documentation: You will be actively involved in gathering, defining, and documenting business requirements for data products. This includes translating business needs into detailed data requirements and user stories for development teams. You will work to break down complex data problems into manageable tasks, ensuring alignment between technical and business requirements. Testing & Quality Assurance: During the testing phase of data product development, you will collaborate with engineering and quality assurance teams to validate that data is accurately extracted, transformed, and loaded. Ensuring that data governance controls are applied during testing is also part of your role, and you will help resolve any issues that arise. Vendor & Stakeholder Management: You will manage relationships with external data vendors to ensure that data feeds meet business requirements and quality standards. Additionally, you will work with both internal and external stakeholders to ensure that data products align with organizational goals and address customer needs. Regular engagement with stakeholders will be key to soliciting feedback on data products and identifying opportunities for enhancement. Data Stewardship Support: In addition to data management, you will provide Level 3 support for complex data-related inquiries and issues. You will proactively identify data challenges and offer data-driven solutions to meet business objectives. You will also participate in data governance initiatives, helping to define and implement best practices for data stewardship across the organization. Collaboration & Communication: You will communicate effectively with both technical and non-technical teams, ensuring that complex data concepts are conveyed clearly. Your collaboration with internal and external teams will ensure that data solutions align with business goals and industry best practices. You will be expected to work in an agile environment, managing multiple priorities to ensure efficient and timely data product delivery. Qualifications & Requirements The ideal candidate will possess the following qualifications: Experience At least 4 years of experience in data stewardship, data governance, or a related field. Experience in the financial services industry is a plus, but not required. A strong background in data modeling (logical, conceptual, physical), data governance, and data quality management is essential. Technical Skills Proficiency in data management tools and technologies such as SQL,, Unix,, Tableau, etc. Familiarity with data governance platforms (e.g., Aha!, ServiceNow, Erwin Data Modeling, DataHub) and methodologies for data management and quality assurance is preferred. Knowledge of databases (Relational, NoSQL, Graph) and cloud-based data platforms (e.g., Snowflake) is also beneficial. Business & Communication Skills Strong business acumen and the ability to align data products with both organizational and client needs. You should be able to effectively communicate complex technical concepts to both technical and non-technical stakeholders. Strong organizational skills and the ability to manage multiple tasks and priorities in an agile environment are essential. Our Benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law. Show more Show less

Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do As a Quality Engineer on the Marketing Datahub Squad, you’ll join a team of passionate professionals dedicated to building and supporting BCG’s next-generation data analytics foundation. Your work will enable personalized customer journeys and empower data-driven decisions by ensuring our analytics platform is stable, scalable, and reliable. The incumbent for this role will help improve and champion data quality and integrity throughout the data lake and other external systems. The candidate must be detail oriented, open-minded and interested in continuous learning, while being curious and unafraid to ask questions. He/She must be willing to innovate and initiate change, discover fresh solutions and present innovative ideas while driving towards increased test automation. He/She must work well in a global team environment and collaborate well with peers and stakeholders Champion data quality across our end-to-end pipeline: from various ingestion sources into Snowflake, through various transformations, to downstream analytics and reporting. Performing integration and regression testing to ensure all system components work successfully together Design, execute and automate test plans for various ETL solutions to ensure each batch and streaming job delivers accurate, timely data. Develop and monitor checks via dbt tests and other tools that surface schema drift, record counts mismatches, null anomalies and other integrity issues. Track and manage defects in JIRA, work collaboratively with Product Owner, Analysts and Data Engineers to prioritize and resolve critical data bugs. Maintain test documentation including test strategies, test cases and run-books, ensuring clarity for both technical and business stakeholders. Continuously improve our CI/CD pipelines (GitHub Actions) by integrating data quality gates and enhancing deployment reliability. What You'll Bring Agile SDLC & Testing Life Cycle: proven track record testing in agile environments with distributed teams. Broad testing expertise: hands-on experience in functional, system, integration and regression testing—applied specifically to data/ETL pipelines. Data platform tools: practical experience with Snowflake, dbt and Fivetran for building, transforming and managing analytic datasets. Cloud Technologies: Familiarity with AWS services (Lambda, Glue jobs and other AWS data stack components) and Azure, including provisioning test environments and validating cloud-native data processes. SQL mastery: ability to author and optimize complex queries to validate transformations, detect discrepancies and generate automated checks. Pipeline validation: testing Data Lake flows (ingest/extract), backend API services for data push/pull, and any data access or visualization layers. Defect Management: using JIRA for logging, triaging and reporting on data defects, and Confluence for maintaining test docs and KPIs. Source control & CI/CD: hands-on with Git for branching and code reviews; experience integrating tests into Jenkins or GitHub Actions. Test Planning & Strategy: help define the scope, estimates, development of test plans, test strategies, and test scripts through the iterations to ensure a quality product. Quality Metrics & KPIs: Tracking and presenting KPIs for testing efforts, such as test coverage, gaps, hotfixes, and defect leakages. Automation: Experience writing end-to-end and/or functional integration automated tests using relevant testing automation frameworks Additional info YOU’RE GOOD AT Data-focused testing: crafting and running complex SQL-driven validations, cross-environment comparisons and sample-based checks in complex pipelines. Automation mindset: Identifying and implementing testing automation solutions for regression, monitoring and efficiency purposes. Collaboration: partnering effectively with Data Engineers, Analytics, BI and Product teams to translate requirements into testable scenarios to ensure a quality product. Being a team player, open, pleasure to work with and positive in a group dynamic, ability to work collaboratively in virtual teams and someone who is self-starter and highly proactive. Agile delivery: adapting to fast-moving sprints, contributing to sprint planning, retrospectives and backlog grooming. Proactivity: spotting gaps in coverage, proposing new test frameworks or tools, and driving adoption across the squad. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Working on a team of engineers within Optum’s Enterprise data platform that manages an instance of datahubproject.io hosted in Google Cloud Platform. The team will be managing deploys of docker containers to Kubernetes via terraform and GitHub actions. The team will develop and maintain data ingestion tooling to help bring data into instance of datahub and other data onboarding activities. The team will provide technical support to customers utilizing the instance of datahub. The team will also build and maintain a micro front end application that will host functionality of their instances of datahub in a panel as part of a larger enterprise platform console application with web services layers. The role has a lot of interaction with technical teams and product owners and product managers and high visibility and presentation opportunity. Primary Responsibilities: Development in Google Cloud Platform Deployments of docker containers to Kubernetes utilizing terraform Software Engineering in high level programing languages and Unit testing Scaled Agile Sermonaries - PI planning, Iteration Planning, Daily standup, Weekly Demo, Weekly Retro, System Integration Demos Solving relatively hard and complex problems Security Administration - Scanning Code base, SonarQube, codeql, Bright testing, Pen Testing, Cloud Scanning and remediations of any CVE and findings Technical Documentation - maintaining high trust network and data flow diagrams Release Management Practices - ServiceNow On Call rotation to support the application in production via ServiceNow Agent Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor’s degree in computer science, Information Technology, or a related field 8+ years of industry experience Proven experience in delivering high-quality production software using Java/JavaScript/ReactJs Solid understanding of Microservices architecture Familiarity with modern software engineering and product development processes, including Agile/Scrum, Continuous Integration, Continuous Delivery, and DevOps Practical experience in deploying infrastructure and applications using Terraform and GitHub Actions Proficiency with Kubernetes, Terraform, Github actions Proven ability to operate in a rapidly changing environment and drive technological innovation to meet business needs Proven ability to work independently with excellent troubleshooting skills Proven solid commitment to achieving high levels of customer satisfaction, both internally and externally At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. #Gen

Job Description NeoXam Noida is looking for an experienced and motivated Senior Consultant who will assist the APAC team. This role will be based in Noida, working closely together with the account management, the services team and collaborate with the product teams. He / she will join a team of experienced consultants and participate in the implementation and support of the application, the installation of new modules and features using: NeoXam DataHub: the most comprehensive, efficient and customizable solution for centralized data management available on the market. The solution acts as a hub, a central repository and a user-oriented data management tool for data used or produced by financial institutions. NeoXam IBOR: a uniquely independent and flexible Investment Book of Record, designed to provide Asset Managers with a single, comprehensive, and robust source of continuously up-to-date positions, valuations and forecasts, with increased quality, under multiple views. NeoXam Impress: an integrated solution for performance, attribution and reporting packs; flexible calculation methodologies including Modified Dietz, Brinson-Fachler; customizable workflows & templates to generate reports in corporate color themes, based on graphics and content; GIPS compliance. The solution could be standalone or connected to NeoXam Datahub & IBOR. With the experience and potential, he / she will be able to focus on various areas, like solution implementation and project management at the world’s leading and most respected financial organizations. MISSION & MAIN ACTIVITIES Participate in NeoXam software implementations at some of the world’s leading and most respected financial organizations Implement the software by carrying out NeoXam Datahub/IBOR software customization, workflow definition and optimization using NeoXam cutting edge technology platform Provide support in troubleshooting, and identifying and resolving any installation and implementation problems to the client’s satisfaction within established time frames Provide best practice guidance to clients by leveraging technical expertise, NeoXam software knowledge and industry experience Ensure coordination and responsive follow-up to client needs and requirements, interfacing with the appropriate NeoXam departments and colleagues as needed Communicate NeoXam’s offerings to clients and identify new opportunities to grow client sales/services and better meet client needs Participate in client support efforts Assist with presales initiatives as needed Provide project reports to NeoXam management and clients upon request Continuously keep up to date with NeoXam DataHub and/or NeoXam IBOR functional and technical features and improvements Identify and resolve any installation and implementation problems to the client’s satisfaction within established time frames ADDED RESPONSIBILITIES for Senior Implementation role: Manage the overall design and configuration activity by ensuring the team follows configuration / scripting / design guidelines Analyze the clients’ needs, accompany and coach their teams and/or take charge of the product implementation, meet clients’ requests, manage the client relation and coordination of the project Provide project management leadership under the responsibility of the Account Manager or Project Director Develop and conduct product training workshops for clients Provide presales consultancy by assisting the sales teams with presentations, Proof of Concept, implementation expertise, etc PROFILE Engineering or Business school, Degree / master’s degree or equivalent Minimum of 8-15 years of experience with financial software implementation and IT Projects in the banking / financial industry. Existing experience on NeoXam Datahub is an advantage Strong analytical and problem-solving skills Experience of a development language (Java, C, C++…) is required to be capable of writing rules in scripting language Experience with RDBMS, Data Modeling, and SQL language Understanding of Enterprise Data Management and ETL techniques and processes Previous experience of financial data provider feeds such as Bloomberg, Refinitiv, ICE and others Knowledge of financial instruments such as Equities, Fixed Income and Derivatives Previous project experience with involvement in multiple stages of the project life cycle Independent, with own initiative and good interpersonal skills and are concerned about the quality of service provided Proactive and a real team player Fluent in English WE OFFER Competitive compensation On-site training in Singapore office. Excellent medical, dental and maternity coverage for you and your dependents Life insurance, allowance A co-working space filled with multinational companies / startups / entrepreneurs, located next to Raffles Place MRT A collaborative, collegial and fun-loving office culture An exposure to diverse technical and functional areas WHY JOIN NEOXAM? Joining us means joining a recognized financial software company which develops and integrates software solutions for the banking, finance and insurance sector. Our clients are asset management (buy-side) and capital markets (sell-side) companies. NeoXam provides complete coverage of the financial value chain, from front to back: portfolio management, investment accounting, as well as data management. Thanks to the performance of our software solutions powered by our Digital Lab, we manage more than 15 trillion dollars’ worth of assets. It also means joining an international group with offices in Paris (our headquarters), and in Frankfurt, Luxembourg, Zurich, Geneva, Milan, New York, Boston, Hong Kong, Shanghai, Beijing, Singapore, Sydney, Tunis and Cape Town. We do everything possible to enable our 500 employees to express their potential and experience. We are committed to respecting our values of adaptability, reliability and transparency both internally and externally. Lastly, by joining the NeoXam adventure, you will be part of a truly growing company project. The proactive and agile spirit, expertise, conviviality and multicultural environment of NeoXam and its employees are our strengths. Show more Show less

At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. As a Guidewire developer at PwC, you will specialise in developing and customising applications using the Guidewire platform. Guidewire is a software suite that provides insurance companies with tools for policy administration, claims management, and billing. You will be responsible for designing, coding, and testing software solutions that meet the specific needs of insurance organisations. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. Job Summary - A career in our Managed Services team will provide you an opportunity to collaborate with a wide array of teams to help our clients implement and operate new capabilities, achieve operational efficiencies, and harness the power of technology. Our Application Evolution Services (formerly Application Managed Services) team will provide you with the opportunity to help organizations harness the power of their enterprise applications by optimizing the technology while driving transformation and innovation to increase business performance. We assist our clients in capitalizing on technology improvements, implementing new capabilities, and achieving operational efficiencies by managing and maintaining their application ecosystems. We help our clients maximize the value of their investment by managing the support and continuous transformation of their solutions in the areas of Guidewire Insurance suite of applications. Minimum Degree Required (BQ) *: Bachelor’s Degree Required Field(s) Of Study (BQ) Preferred Field(s) of Study: Minimum Year(s) of Experience (BQ) *: US Certification(s) Preferred Minimum of 3 to 5 years of experience Guidewire Associate Analyst Preferred Knowledge/Skills *: Demonstrates a thorough level of abilities with, and/or a proven record of success as both an individual contributor and team member with focus on deep expertise, continuous execution, throughput and quality Responsibilities As a Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Anticipate stakeholder needs, and develop and discuss potential solutions, even before the stakeholder realizes they are required. Contribute functional knowledge in your area of expertise. Contribute to an environment where people and technology thrive together to accomplish more than they could apart. Navigate the complexities of cross-border and/or diverse teams and engagements. Uphold the firm's code of ethics and business conduct. Work in a team environment that includes client interactions, manage accounts independently, and cross-team collaboration. Take up cross competency work and drive to COE activities. Willingness to work Second Shift (2 pm IST to 11 pm IST) to support US based clients Along with the above, candidate should have ability to demonstrate: Demonstrates Abilities And Extensive Application Managed Service Projects And Quality Assurance Testing The Guidewire Applications Suite On Premises And SaaS, With Proven Success Executing And Leading All Aspects Of Complex Engagements Within The Guidewire Product Suite Achieving On-time And On-budget Delivery, As Well As The Following Design and execute test plans, manual and automated test scripts, and test cases based on project requirements and objectives. Perform system, integration, functional, data validation, and automation testing as well as facilitate user acceptance testing. Utilize test automation tools and scripts, where feasible, to streamline test cycle execution. Utilize test management tools to document test plans and to report test results and defects Participate in troubleshooting and triaging of issues with different teams to drive towards root cause identification and resolution Proficient in Test Management Tools JIRA/Rally/HP-QC/VSTS/TFS Guidewire functional knowledge on Billingcenter, PolicyCenter, ClaimsCenter, Datahub, Forms and ContactManager. Preferred Skills Guidewire PolicyCenter, BillingCenter, ClaimCenter, Datahub, Forms and ContactManager, including leading related project teams; Familiarity with GOSU, Guidewire Event and Rules Framework, SQL, SOAPUI Familiarity with XML Coding; Show more Show less

About This Role Position Overview: BlackRock is seeking a highly skilled and motivated Associate to support its growing and dynamic data stewardship function. In this role, you will be responsible for ensuring that data products are accurately defined, compliant with data governance policies, and delivered effectively to meet business needs. You will work closely with cross-functional teams—including business stakeholders, technical teams, and external vendors—to manage the full lifecycle of data products from ideation to delivery. The ideal candidate will have at least 4 years of experience in data stewardship, data governance, and data modeling, and will thrive in a fast-paced, results-driven environment. Key Responsibilities As an Associate Data Steward, your responsibilities will span several key areas: Business & Strategic Acumen: You will collaborate closely with business units to understand evolving data requirements and align data products to meet strategic goals and objectives. You will ensure that data products support various use cases, such as operational efficiencies, risk management, and commercial applications, while defining success criteria for data offerings in collaboration with key stakeholders. Data Governance & Quality: A core aspect of this role is managing data quality through the application of robust data governance controls. You will be responsible for monitoring data health, implementing data quality metrics, and ensuring that data products meet established standards for accuracy, completeness, and consistency. Regular assessments of data sources and processes will be part of your ongoing responsibilities to identify deficiencies and opportunities for improvement. Data Product Lifecycle Management: You will support the full delivery lifecycle of data products, from ideation to release. This includes working with cross-functional teams—such as product managers, engineers, and business stakeholders—to plan, design, and deliver data products. In addition, you will contribute to the design and creation of conceptual, logical, and physical data models to ensure that data products meet business requirements. Requirements Gathering & Documentation: You will be actively involved in gathering, defining, and documenting business requirements for data products. This includes translating business needs into detailed data requirements and user stories for development teams. You will work to break down complex data problems into manageable tasks, ensuring alignment between technical and business requirements. Testing & Quality Assurance: During the testing phase of data product development, you will collaborate with engineering and quality assurance teams to validate that data is accurately extracted, transformed, and loaded. Ensuring that data governance controls are applied during testing is also part of your role, and you will help resolve any issues that arise. Vendor & Stakeholder Management: You will manage relationships with external data vendors to ensure that data feeds meet business requirements and quality standards. Additionally, you will work with both internal and external stakeholders to ensure that data products align with organizational goals and address customer needs. Regular engagement with stakeholders will be key to soliciting feedback on data products and identifying opportunities for enhancement. Data Stewardship Support: In addition to data management, you will provide Level 3 support for complex data-related inquiries and issues. You will proactively identify data challenges and offer data-driven solutions to meet business objectives. You will also participate in data governance initiatives, helping to define and implement best practices for data stewardship across the organization. Collaboration & Communication: You will communicate effectively with both technical and non-technical teams, ensuring that complex data concepts are conveyed clearly. Your collaboration with internal and external teams will ensure that data solutions align with business goals and industry best practices. You will be expected to work in an agile environment, managing multiple priorities to ensure efficient and timely data product delivery. Qualifications & Requirements The ideal candidate will possess the following qualifications: Experience At least 4 years of experience in data stewardship, data governance, or a related field. Experience in the financial services industry is a plus, but not required. A strong background in data modeling (logical, conceptual, physical), data governance, and data quality management is essential. Technical Skills Proficiency in data management tools and technologies such as SQL,, Unix,, Tableau, etc. Familiarity with data governance platforms (e.g., Aha!, ServiceNow, Erwin Data Modeling, DataHub) and methodologies for data management and quality assurance is preferred. Knowledge of databases (Relational, NoSQL, Graph) and cloud-based data platforms (e.g., Snowflake) is also beneficial. Business & Communication Skills Strong business acumen and the ability to align data products with both organizational and client needs. You should be able to effectively communicate complex technical concepts to both technical and non-technical stakeholders. Strong organizational skills and the ability to manage multiple tasks and priorities in an agile environment are essential. Our Benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law. Show more Show less

Hello! You've landed on this page, which means you're interested in working with us. Let's take a sneak peek at what it's like to work at Innovaccer. Engineering at Innovaccer With every line of code, we accelerate our customers' success, turning complex challenges into innovative solutions. Collaboratively, we transform each data point we gather into valuable insights for our customers. Join us and be part of a team that's turning dreams of better healthcare into reality, one line of code at a time. Together, we’re shaping the future and making a meaningful impact on the world. About the Role We’re on a mission to completely change the way healthcare works by building the most powerful Healthcare Intelligence Platform ever made. Using an AI-first approach , our goal is to turn complicated health data into real-time insights that help hospitals, clinics, pharmaceutical companies, and researchers make faster, smarter decisions. We're building a unified platform from the ground up — specifically for healthcare . This platform will bring together everything from: Collecting data from different systems (Data Acquisition) Combining and cleaning it (Integration, Data Quality) Managing patient records and provider info (Master Data Management) Tagging and organizing it (Data Classification & Governance) Running analytics and building AI models (Analytics, AI Studio) Creating custom healthcare apps (App Marketplace) Using AI as a built-in assistant (AI as BI + Agent-first approach) This platform will let healthcare teams build solutions quickly — without starting from scratch each time. For example, they’ll be able to: Track and manage kidney disease patients across different hospitals Speed up clinical trials by analyzing real-world patient data Help pharmacies manage their stock better with predictive supply chain tools Detect early signs of diseases like diabetes or cancer with machine learning Ensure regulatory compliance automatically through built-in checks This is a huge, complex, and high-impact challenge , and we’re looking for a Software Development Engineer III to help lead the way. In this role, you’ll: Design and build scalable, secure, and reliable systems Create core features like data quality checks , metadata management , data lineage tracking , and privacy/compliance layers Work closely with other engineers, product managers, and healthcare experts to bring the platform to life If you're passionate about using technology to make a real difference in the world — and enjoy solving big engineering problems — we'd love to connect. A Day in the Life Architect, design, and build scalable data tools and frameworks. Collaborate with cross-functional teams to ensure data compliance, security, and usability. Lead initiatives around metadata management, data lineage, and data cataloging. Define and evangelize standards and best practices across data engineering teams. Own the end-to-end lifecycle of tooling – from prototyping to production deployment. Mentor and guide junior engineers and contribute to technical leadership across the organization. Drive innovation in privacy-by-design, regulatory compliance (e.g., HIPAA), and data observability solutions. What You Need 6+ years of experience in software engineering with strong experience building distributed systems. Proficient in backend development (Python, Java, or Scala or Go) and familiar with RESTful API design. Expertise in modern data stacks: Kafka, Spark, Airflow, Snowflake etc. Experience with open-source data governance frameworks like Apache Atlas, Amundsen, or DataHub is a big plus. Familiarity with cloud platforms (AWS, Azure, GCP) and their native data governance offerings. Bachelor's or Master’s degree in Computer Science, Engineering, or a related field. Here’s What We Offer Generous Leave Benefits: Enjoy generous leave benefits of up to 40 days. Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition. Sabbatical Leave Policy: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered. Health Insurance: We offer health benefits and insurance to you and your family for medically related expenses related to illness, disease, or injury. Pet-Friendly Office*: Spend more time with your treasured friends, even when you're away from home. Bring your furry friends with you to the office and let your colleagues become their friends, too. *Noida office only Creche Facility for children*: Say goodbye to worries and hello to a convenient and reliable creche facility that puts your child's well-being first. *India offices Where and how we work Our Noida office is situated in a posh techspace, equipped with various amenities to support our work environment. Here, we follow a five-day work schedule, allowing us to efficiently carry out our tasks and collaborate effectively within our team. Innovaccer is an equal-opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. About Innovaccer Innovaccer Inc. is the data platform that accelerates innovation. The Innovaccer platform unifies patient data across systems and care settings, and empowers healthcare organizations with scalable, modern applications that improve clinical, financial, operational, and experiential outcomes. Innovaccer’s EHR-agnostic solutions have been deployed across more than 1,600 hospitals and clinics in the US, enabling care delivery transformation for more than 96,000 clinicians, and helping providers work collaboratively with payers and life sciences companies. Innovaccer has helped its customers unify health records for more than 54 million people and generate over $1.5 billion in cumulative cost savings. The Innovaccer platform is the #1 rated Best-in-KLAS data and analytics platform by KLAS, and the #1 rated population health technology platform by Black Book. For more information, please visit innovaccer.com . Check us out on YouTube , Glassdoor , LinkedIn , and innovaccer.com . Disclaimer: Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details. Show more Show less

LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. As part of our world-class software engineering team, you will be charged with building the next-generation information retrieval infrastructure and platforms for LinkedIn, including but not limited to: search systems, vector databases, system infrastructure, and other AI platform components. You will drive the technology vision and create business impact by putting to use your passion for very large scale information retrieval systems and software as a service and your passion for writing code that performs at an extreme scale. LinkedIn has already pioneered well-known open-source infrastructure projects like Apache Kafka, Pinot, Azkaban, Samza, Venice, Datahub, Feather, etc. We also work with industry standard open source infrastructure products like Kubernetes, GRPC and GraphQL - come join our infrastructure teams and share the knowledge with a broader community while making a real impact within our company. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together. Responsibilities: - You will build and ship software, drive architectural decisions and implementation across the BigData ecosystem that includes compute engines, processing pipelines, storage, observability, compliance.etc. - You will design the right interfaces/APIs for long term evolution of the services. - You will be responsible for the high availability, reliability, scalability and performance of these systems - You will invest in growing junior engineers with a high craft bar. - You will actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies. - You will lead cross team/cross functional discussions and drive alignment on product/technology strategy. You will work closely with other stakeholders to drive intra-team alignment. - You will be a primary domain expert to influence technology choices. Basic Qualifications: - BA/BS Degree or higher in Computer Science or related technical discipline, or related practical experience - 18+ years of programming experience in C++, Rust or similar systems programming languages - 18+ years experience building large-scale distributed systems, applications or similar experience Preferred Qualifications: - MS or PhD in Computer Science or related technical discipline. - Experience with strategic planning, executing on a long term roadmap, team development and scaling processes to support business growth. - Designing and building infrastructure and backend services at internet scale. - Building and shipping high quality work while achieving high reliability. - Utilizing data and analysis in articulating technical problems and in arriving at recommendations and solutions. - Leading high-impact cross-org initiatives - Expertise in model inference or online model serving systems Suggested Skills: - Large scale distributed systems - Strategic thinking - Information Retrieval You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. India Disability Policy LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal Show more Show less