309 Collibra Jobs - Page 4

The Data Quality Sr. Analyst helps to ensure data sourced and provisioned by different areas, meets all required Data Quality standards. In this role, moderately complex and variable issues are evaluated with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. The Data Quality Sr. Analyst assesses, evaluates, and analyzes data challenges and provide recommendations on their resolution. They collaborate with an array of teams and groups, developing subject matter expertise and knowledge of industry practices and standards. Responsibilities: Partners with Enterprise Chief Data Office to contribute to the development of procedure guidelines and standards addressing Data Certification and Data Quality management Develop methods to identify data patterns and trends in available data sources, perform data quality analytics and identify data challenges Contribute to Data Quality resolution strategies and practices Assist in data improvement initiatives in compliance with Citi Data Governance Policy Assists in the remediation of Audit and Regulatory feedback on issues and concerns Report Data Quality issues through Citi’s corresponding Data/Issue management process, and/or Coordinate efforts for Data consumption demand and Data requirement from strategic data repositories Liaise with other areas of the firm to understand data challenges and solutions. Supports identification of data quality rules, thresholds, and other business requirements Perform financial reconciliation, and measure Data Quality to drive data quality resolution Define and formulate business requirements documents that contribute to resolve Data Quality issues Lead project management activities Support senior management strategic vision Appropriately assess risk when business decisions are made, demonstrating consideration for the firm’s reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable rules, laws, and regulations, adhering to Policy, applying sound ethical judgement regarding personal behaviour, conduct and business practices, and escalating managing and reporting control issues with transparency Qualifications: 5-8 years of experience with defining and implementing Data Quality programs; Banking or Finance industry preferred Strong analytical skills and attention to detail Strong project management skills Optimizes work processes by knowing the most effective and efficient processes to get things done, with a focus on continuous improvement Proficient in using data management and analysis tools including basic Microsoft applications (Word, Excel, PowerPoint) Working knowledge of Collibra and other Data Governance industry standard tools Intermediate proficiency in System Query Language (SQL) Working knowledge of Tableau (report consumer, developer, etc.) Demonstrated understanding of Database structures Proven ability to provide in-depth and sophisticated analysis with interpretive thinking to define problems and develop innovative solutions Anticipates and balances the needs of multiple stakeholders, while monitoring tight deadlines or unexpected requirement changes Communicates effectively in non-technical terms at all levels of the organization Collaborates effectively by building partnerships and working well with others to meet shared objectives Education: Bachelor's/University degree ------------------------------------------------------ Job Family Group: Data Governance ------------------------------------------------------ Job Family: Data Quality & Data Quality Analytics and Reporting ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management, technology, and process optimization to deliver high-quality services to clients. Those in managed service management and strategy at PwC will focus on transitioning and running services, along with managing delivery teams, programmes, commercials, performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process, tools and services. 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. Role: Associate Tower: Data, Analytics & Specialist Managed Service Experience: 2.0 - 5.5 years Key Skills: AWS Educational Qualification: BE / B Tech / ME / M Tech / MBA Work Location: India.;l Job Description As a Associate, you will 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: Use feedback and reflection to develop self-awareness, personal strengths, and address development areas. Flexible to work in stretch opportunities/assignments. Demonstrate critical thinking and the ability to bring order to unstructured problems. Ticket Quality and deliverables review, Status Reporting for the project. Adherence to SLAs, experience in incident management, change management and problem management. Seek and embrace opportunities which give exposure to different situations, environments, and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. Demonstrate leadership capabilities by working, with clients directly and leading the engagement. Work in a team environment that includes client interactions, workstream management, and cross-team collaboration. Good team player, take up cross competency work and contribute to COE activities. Escalation/Risk management. Position Requirements Required Skills: AWS Cloud Engineer Job description: Candidate is expected to demonstrate extensive knowledge and/or a proven record of success in the following areas: Should have minimum 2 years hand on experience building advanced Data warehousing solutions on leading cloud platforms. Should have minimum 1-3 years of Operate/Managed Services/Production Support Experience Should have extensive experience in developing scalable, repeatable, and secure data structures and pipelines to ingest, store, collect, standardize, and integrate data that for downstream consumption like Business Intelligence systems, Analytics modelling, Data scientists etc. Designing and implementing data pipelines to extract, transform, and load (ETL) data from various sources into data storage systems, such as data warehouses or data lakes. Should have experience in building efficient, ETL/ELT processes using industry leading tools like AWS, AWS GLUE, AWS Lambda, AWS DMS, PySpark, SQL, Python, DBT, Prefect, Snoflake, etc. Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in AWS. Work together with data scientists and analysts to understand the needs for data and create effective data workflows. Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data. Improve the scalability, efficiency, and cost-effectiveness of data pipelines. Monitoring and troubleshooting data pipelines and resolving issues related to data processing, transformation, or storage. Implementing and maintaining data security and privacy measures, including access controls and encryption, to protect sensitive data Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases Should have experience in Building and maintaining Data Governance solutions (Data Quality, Metadata management, Lineage, Master Data Management and Data security) using industry leading tools Scaling and optimizing schema and performance tuning SQL and ETL pipelines in data lake and data warehouse environments. Should have Hands-on experience with Data analytics tools like Informatica, Collibra, Hadoop, Spark, Snowflake etc. Should have Experience of ITIL processes like Incident management, Problem Management, Knowledge management, Release management, Data DevOps etc. Should have Strong communication, problem solving, quantitative and analytical abilities. Nice To Have AWS certification Managed Services- Data, Analytics & Insights Managed Service At PwC we relentlessly focus on working with our clients to bring the power of technology and humans together and create simple, yet powerful solutions. We imagine a day when our clients can simply focus on their business knowing that they have a trusted partner for their IT needs. Every day we are motivated and passionate about making our clients’ better. Within our Managed Services platform, PwC delivers integrated services and solutions that are grounded in deep industry experience and powered by the talent that you would expect from the PwC brand. The PwC Managed Services platform delivers scalable solutions that add greater value to our client’s enterprise through technology and human-enabled experiences. Our team of highly skilled and trained global professionals, combined with the use of the latest advancements in technology and process, allows us to provide effective and efficient outcomes. With PwC’s Managed Services our clients are able to focus on accelerating their priorities, including optimizing operations and accelerating outcomes. PwC brings a consultative first approach to operations, leveraging our deep industry insights combined with world class talent and assets to enable transformational journeys that drive sustained client outcomes. Our clients need flexible access to world class business and technology capabilities that keep pace with today’s dynamic business environment. Within our global, Managed Services platform, we provide Data, Analytics & Insights where we focus more so on the evolution of our clients’ Data and Analytics ecosystem. Our focus is to empower our clients to navigate and capture the value of their Data & Analytics portfolio while cost-effectively operating and protecting their solutions. We do this so that our clients can focus on what matters most to your business: accelerating growth that is dynamic, efficient and cost-effective. As a member of our Data, Analytics & Insights Managed Service team, we are looking for candidates who thrive working in a high-paced work environment capable of working on a mix of critical Data, Analytics & Insights offerings and engagement including help desk support, enhancement, and optimization work, as well as strategic roadmap and advisory level work. It will also be key to lend experience and effort in helping win and support customer engagements from not only a technical perspective, but also a relationship perspective. Show more Show less

At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management, technology, and process optimization to deliver high-quality services to clients. Those in managed service management and strategy at PwC will focus on transitioning and running services, along with managing delivery teams, programmes, commercials, performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process, tools and services. 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. Role: Associate Tower: Data, Analytics & Specialist Managed Service Experience: 2.0 - 5.5 years Key Skills: AWS Educational Qualification: BE / B Tech / ME / M Tech / MBA Work Location: India.;l Job Description As a Associate, you will 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: Use feedback and reflection to develop self-awareness, personal strengths, and address development areas. Flexible to work in stretch opportunities/assignments. Demonstrate critical thinking and the ability to bring order to unstructured problems. Ticket Quality and deliverables review, Status Reporting for the project. Adherence to SLAs, experience in incident management, change management and problem management. Seek and embrace opportunities which give exposure to different situations, environments, and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. Demonstrate leadership capabilities by working, with clients directly and leading the engagement. Work in a team environment that includes client interactions, workstream management, and cross-team collaboration. Good team player, take up cross competency work and contribute to COE activities. Escalation/Risk management. Position Requirements Required Skills: AWS Cloud Engineer Job description: Candidate is expected to demonstrate extensive knowledge and/or a proven record of success in the following areas: Should have minimum 2 years hand on experience building advanced Data warehousing solutions on leading cloud platforms. Should have minimum 1-3 years of Operate/Managed Services/Production Support Experience Should have extensive experience in developing scalable, repeatable, and secure data structures and pipelines to ingest, store, collect, standardize, and integrate data that for downstream consumption like Business Intelligence systems, Analytics modelling, Data scientists etc. Designing and implementing data pipelines to extract, transform, and load (ETL) data from various sources into data storage systems, such as data warehouses or data lakes. Should have experience in building efficient, ETL/ELT processes using industry leading tools like AWS, AWS GLUE, AWS Lambda, AWS DMS, PySpark, SQL, Python, DBT, Prefect, Snoflake, etc. Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in AWS. Work together with data scientists and analysts to understand the needs for data and create effective data workflows. Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data. Improve the scalability, efficiency, and cost-effectiveness of data pipelines. Monitoring and troubleshooting data pipelines and resolving issues related to data processing, transformation, or storage. Implementing and maintaining data security and privacy measures, including access controls and encryption, to protect sensitive data Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases Should have experience in Building and maintaining Data Governance solutions (Data Quality, Metadata management, Lineage, Master Data Management and Data security) using industry leading tools Scaling and optimizing schema and performance tuning SQL and ETL pipelines in data lake and data warehouse environments. Should have Hands-on experience with Data analytics tools like Informatica, Collibra, Hadoop, Spark, Snowflake etc. Should have Experience of ITIL processes like Incident management, Problem Management, Knowledge management, Release management, Data DevOps etc. Should have Strong communication, problem solving, quantitative and analytical abilities. Nice To Have AWS certification Managed Services- Data, Analytics & Insights Managed Service At PwC we relentlessly focus on working with our clients to bring the power of technology and humans together and create simple, yet powerful solutions. We imagine a day when our clients can simply focus on their business knowing that they have a trusted partner for their IT needs. Every day we are motivated and passionate about making our clients’ better. Within our Managed Services platform, PwC delivers integrated services and solutions that are grounded in deep industry experience and powered by the talent that you would expect from the PwC brand. The PwC Managed Services platform delivers scalable solutions that add greater value to our client’s enterprise through technology and human-enabled experiences. Our team of highly skilled and trained global professionals, combined with the use of the latest advancements in technology and process, allows us to provide effective and efficient outcomes. With PwC’s Managed Services our clients are able to focus on accelerating their priorities, including optimizing operations and accelerating outcomes. PwC brings a consultative first approach to operations, leveraging our deep industry insights combined with world class talent and assets to enable transformational journeys that drive sustained client outcomes. Our clients need flexible access to world class business and technology capabilities that keep pace with today’s dynamic business environment. Within our global, Managed Services platform, we provide Data, Analytics & Insights where we focus more so on the evolution of our clients’ Data and Analytics ecosystem. Our focus is to empower our clients to navigate and capture the value of their Data & Analytics portfolio while cost-effectively operating and protecting their solutions. We do this so that our clients can focus on what matters most to your business: accelerating growth that is dynamic, efficient and cost-effective. As a member of our Data, Analytics & Insights Managed Service team, we are looking for candidates who thrive working in a high-paced work environment capable of working on a mix of critical Data, Analytics & Insights offerings and engagement including help desk support, enhancement, and optimization work, as well as strategic roadmap and advisory level work. It will also be key to lend experience and effort in helping win and support customer engagements from not only a technical perspective, but also a relationship perspective. Show more Show less

We are hiring for our client - based in Hyderabad- GCC - who are yet to establish their presence in India. Job Summary : We are looking for a Senior Data Engineer to join our growing team of analytics experts. As a data engineer, you are responsible for designing and implementing our data pipeline architecture and optimizing data flow and collection for cross-functional groups, considering scalability in mind. Data engineering is about building the underlying infrastructure, and so being able to pass the limelight to someone else is imperative. Required Skills: Hands-on experience in Data Integration and Data Warehousing Strong proficiency in: Google BigQuery Python SQL Airflow/Cloud Composer Ascend or any modern ETL tool Experience with data quality frameworks or custom-built validations Preferred Skills: Knowledge of DBT for data transformation and modeling Familiarity with Collibra for data cataloging and governance Qualifications: Advanced working SQL knowledge and experience working with relational databases and working familiarity with a variety of databases. Strong analytic skills related to working with unstructured datasets. Experience building a serverless data warehouse in GCP or AWS 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field. Strong analytic skills related to working with unstructured datasets Responsibilities: Create and maintain optimal data pipeline architecture. Assemble large, complex data sets that meet functional / non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Design, build, and optimize data pipelines using Google BigQuery, ensuring use of best practices such as query optimization,partitioning, clustering, and scalable data modeling. Develop robust ETL/ELT processes using Python and SQL, with an emphasis on reliability, performance, and maintainability. Create and manage Ascend or equivalent tool data flows, including: Setting up read/write connectors for various data sources. Implementing custom connectors using Python. Managing scheduling, failure notifications, and data services within Ascend. Implement data quality checks (technical and business level) and participate in defining data testing strategies to ensure data reliability. Perform incremental loads and merge operations in BigQuery. Build and manage Airflow (Cloud Composer) DAGs, configure variables, and handle scheduling as part of orchestration. Work within a CI/CD (DevSecOps) setup to promote code efficiently across environments. Participate in technical solutioning: Translate business integration needs into technical user stories. Contribute to technical design documents and provide accurate estimations. Conduct and participate in code reviews, enforce standards, and mentor junior engineers. Collaborate with QA and business teams during UAT; troubleshoot and resolve issues in development, staging, and production environments. Show more Show less

Bengaluru, Karnataka Job ID 30181703 Job Category Digital Technology Country: India Location: Ecospace Campus 3A, 4th Floor, Outer Ring Road, Bellandur, Bengaluru- 560103 Job Title - AI Data Analyst Preferred Location - Bangalore Full time/Part Time - Full Time Build a career with confidence Carrier Global Corporation, global leader in intelligent climate and energy solutions is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do Job Summary We are looking for a skilled Data Analyst with over 5 years of experience to join our team. The ideal candidate will have a strong background in data management principles, data engineering, and modeling, with hands-on expertise in building data models and data catalogs. This role requires knowledge of data marketplaces, data products, and Agile frameworks, along with a solid understanding of a specific business process (e.g., Supply Chain, Finance, Operations). The Data Analyst will play a key role in transforming raw data into actionable insights, ensuring data quality, and supporting data-driven decision-making across the organization. Key Responsibilities Analyze and interpret complex datasets to provide actionable insights that support business objectives in areas such as Supply Chain, Finance, or Operations. data management principles, including data governance, data quality, and metadata management, to ensure reliable and trustworthy data assets. Collaborate with data engineering teams to design and optimize ETL processes, ensuring efficient data extraction, transformation, and loading. Build and maintain data models using industry-standard data modeling tools to support reporting, analytics, and data integration needs. Develop and manage data catalogs using data catalog tools to enhance data discoverability, lineage, and governance. Contribute to the design and implementation of data marketplaces and data products, enabling self-service access to high-quality datasets. Work within an Agile framework, participating in sprint planning, stand-ups, and retrospectives to deliver iterative data solutions. Partner with business stakeholders to understand specific processes (e.g., Supply Chain, Finance, Operations) and translate requirements into data-driven solutions. Monitor data quality, identify anomalies, and recommend improvements to enhance data integrity and usability. Create visualizations, reports, and dashboards to communicate findings effectively to technical and non-technical audiences. Required Skills and Qualifications Bachelor’s degree in Data Science, Computer Science, Statistics, Business Analytics, or a related field. 5+ years of experience as a Data Analyst or in a similar role, with a proven track record of delivering data solutions. Strong experience in data management principles, including data governance, data quality, and metadata management. Proficiency in data engineering concepts, such as ETL processes and data analysis, with hands-on experience in related tools (e.g., SQL, Python, Informatica). Demonstrated expertise in building data models using data modeling tools (e.g., ER/Studio, dbt, PowerDesigner). Practical experience in developing and maintaining data catalogs with tools like Atlan, Collibra, or Informatica Data Catalog. Knowledge of data marketplaces and data products, with an understanding of their role in enabling data accessibility and value creation. Experience working in an Agile framework, delivering incremental value through iterative development cycles. Good understanding of at least one specific business process (e.g., Supply Chain, Finance, Operations) and its data requirements. Strong analytical skills, with the ability to work with large datasets and derive meaningful insights. Excellent communication skills to collaborate with cross-functional teams and present findings to diverse stakeholders. Preferred Qualifications Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services. Familiarity with BI tools like Tableau, Power BI, or Looker for data visualization. Exposure to advanced analytics techniques, such as predictive modeling or machine learning. Our commitment to you Our greatest assets are the expertise, creativity and passion of our employees. We strive to provide a great place to work that attracts, develops and retains the best talent, promotes employee engagement, fosters teamwork and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best-in-class programs and practices, providing enriching career opportunities, listening to employee feedback and always challenging ourselves to do better. This is The Carrier Way. Join us and make a difference. Now! Carrier is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

#Urgent Hiring# #DBT (Data Build Tool) #SQL models #ETL/ELT Job Title: QA Data Analyst Experience : 4+ Years Work Location: Chennai (Hybrid) Roles & Responsibilities: Developed, documented, and maintained detailed test cases, user scenarios and test artifacts. Develop and execute test plans, test cases, and test scripts for DBT data models and pipelines. Validate data transformation logic, SQL models, and end-to-end data flows. Knowledge and Experience: Minimum of 5 years' experience as a software tester with proven experience in defining and leading QA cycles Strong experience with DBT (Data Build Tool) and writing/validating SQL models. Hands-on experience with Collibra for metadata management and data governance validation. Solid understanding of data warehousing concepts and ETL/ELT processes. Proficiency in SQL for data validation and transformation testing. Show more Show less

Job Title: Data Engineer Lead - AEP Location: Remote Experience Required: 12–15 years overall experience 8+ years in Data Engineering 5+ years leading Data Engineering teams Cloud migration & consulting experience (GCP preferred) Job Summary: We are seeking a highly experienced and strategic Lead Data Engineer with a strong background in leading data engineering teams, modernizing data platforms, and migrating ETL pipelines and data warehouses to Google Cloud Platform (GCP) . You will work directly with enterprise clients, architecting scalable data solutions, and ensuring successful delivery in high-impact environments. Key Responsibilities: Lead end-to-end data engineering projects including cloud migration of legacy ETL pipelines and Data Warehouses to GCP (BigQuery) . Design and implement modern ELT/ETL architectures using Dataform , Dataplex , and other GCP-native services. Provide strategic consulting to clients on data platform modernization, governance, and data quality frameworks. Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders. Define and enforce data engineering best practices , coding standards, and CI/CD processes. Mentor and manage a team of data engineers; foster a high-performance, collaborative team culture. Monitor project progress, ensure delivery timelines, and manage client expectations. Engage in technical pre-sales and solutioning , driving excellence in consulting delivery. Technical Skills & Tools: Cloud Platforms: Strong experience with Google Cloud Platform (GCP) – particularly BigQuery , Dataform , Dataplex , Cloud Composer , Cloud Storage , Pub/Sub . ETL/ELT Tools: Apache Airflow, Dataform, dbt (if applicable). Languages: Python, SQL, Shell scripting. Data Warehousing: BigQuery, Snowflake (optional), traditional DWs (e.g., Teradata, Oracle). DevOps: Git, CI/CD pipelines, Docker. Data Modeling: Dimensional modeling, Data Vault, star/snowflake schemas. Data Governance & Lineage: Dataplex, Collibra, or equivalent tools. Monitoring & Logging: Stackdriver, DataDog, or similar. Preferred Qualifications: Proven consulting experience with premium clients or Tier 1 consulting firms. Hands-on experience leading large-scale cloud migration projects . GCP Certification(s) (e.g., Professional Data Engineer, Cloud Architect). Strong client communication, stakeholder management, and leadership skills. Experience with agile methodologies and project management tools like JIRA. Show more Show less

We are seeking a highly skilled and detail-oriented Data Governance Analyst with a minimum of 5 years of experience in the BFSI domain. The ideal candidate will support the implementation and management of enterprise data governance strategies to ensure data quality, consistency, security, and regulatory compliance across the organization. The role demands strong collaboration with data stewards, business units, and IT teams to support data-driven decision-making and governance practices. Key Responsibilities: Collaborate with data owners and stewards across business and IT to define and implement data governance policies, standards, and procedures. Facilitate the establishment and maintenance of a data governance framework that aligns with regulatory requirements. Conduct data quality assessments and support data remediation initiatives in line with business priorities. Monitor data governance metrics and provide regular reporting to leadership on data quality, policy adherence, and issue resolution status. Support metadata management initiatives, including cataloging of critical data elements, definitions, and data lineage tracking. Coordinate with compliance and risk teams to ensure data governance efforts support internal audits, regulatory reporting, and data privacy mandates. Provide training and guidance to stakeholders on data governance principles, roles, and responsibilities. Leverage tools and platforms such as Collibra, Informatica, Alation, or similar for metadata management, data cataloging, and workflow automation. Required Skills & Qualifications: Minimum 5 years of experience in Data Governance or Data Management within the BFSI sector. Strong understanding of data governance frameworks (e.g., DAMA-DMBOK) and data management best practices. Experience with regulatory and compliance standards relevant to BFSI (e.g., RBI, SEBI, FATCA, GDPR, Basel). Proficiency in data quality tools , metadata repositories, and data lineage solutions. Hands-on experience with tools like Collibra, Informatica Axon/EDC, Alation, or equivalent . Knowledge of SQL and basic data analysis techniques. Excellent analytical, problem-solving, and stakeholder communication skills. Show more Show less

Collibra Data Governance Engineer Job Location : Hyderabad / Bangalore / Chennai / Noida/ Gurgaon / Pune / Indore / Mumbai/ Kolkata Required Skills 5+ years of experience in data governance and/or metadata management. Hands-on experience with Collibra Data Governance Center (Collibra DGC), including workflow configuration, cataloging, and operating model customization . Strong knowledge of metadata management, data lineage, and data quality principles . Hands-on experience with Snowflake Familiarity with data integration tools and AWS cloud platform Experience with SQL and working knowledge of relational databases. Understanding of data privacy regulations (e.g., GDPR, CCPA) and compliance frameworks. Preferred Skills Certifications such as Collibra Certified Solution Architect . Experience integrating Collibra with tools like Snowflake, Tableau or other BI/analytics platforms. Exposure to DataOps, MDM (Master Data Management) , and data governance frameworks like DAMA-DMBOK. Strong communication and stakeholder management skills.

Dear all., Greetings of the Day!!! We have opening with one of the top MNC. Experience:5-15 Years Notice Period: Immediate to 45 Days Job Description: Design, build, and maintain data pipelines (ETL/ELT) using BigQuery , Python , and SQL Optimize data flow, automate processes, and scale infrastructure Develop and manage workflows in Airflow/Cloud Composer and Ascend (or similar ETL tools) Implement data quality checks and testing strategies Support CI/CD (DevSecOps) processes, conduct code reviews, and mentor junior engineers Collaborate with QA/business teams and troubleshoot issues across environments. DBT for transformation Collibra for data quality Working with unstructured datasets Strong analytical and SQL expertise Interested candidates revert back with your updated CV to sushma.b@technogenindia.com

ABOUT THE ROLE Role Description: You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgen's data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data. This role involves working closely with business stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles & Responsibilities: Responsible for the data governance and data management framework implementation for the Development domain of the biopharma lifecycle. Contribute to the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Contribute to the cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. Partner with business teams to identify compliance requirements with data privacy, security, and regulatory policies for the assigned domains Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) define the specifications shaping the development and implementation of data foundations. Build strong relationships with key business leaders and partners to ensure their needs are met Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in the Development domain of the biopharma lifecycle. General knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. Experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer-focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics Experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience with Agile software development methodologies (Scrum) Proficiency in data analysis and quality tools (e.g., SQL, Excel, Python, or SAS). Soft Skills: Highly organized and able to work under minimal supervision Excellent analytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ambitious to further develop their skills and career Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills High degree of initiative and self-motivation. Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Bachelors degree and 3 to 5 years of Life Science/Biotechnology/Pharmacology/Information Systems experience OR Diploma and 7 to 9 years of Life Science/Biotechnology/Pharmacology/ Information Systems experience

Role Description: You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgen's data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data. This role involves working closely with business stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles & Responsibilities: Responsible for the data governance and data management framework implementation for the Research domain of the biopharma lifecycle. Contribute to the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Contribute to the cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. Partner with business teams to identify compliance requirements with data privacy, security, and regulatory policies for the assigned domains Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) define the specifications shaping the development and implementation of data foundations. Build strong relationships with key business leaders and partners to ensure their needs are met Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in the Research domain of the biopharma lifecycle. General knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. Experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer-focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics Experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience with Agile software development methodologies (Scrum) Proficiency in data analysis and quality tools (e.g., SQL, Excel, Python, or SAS) Soft Skills: Highly organized and able to work under minimal supervision Excellent analytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ambitious to further develop their skills and career Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills High degree of initiative and self-motivation. Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Bachelors degree and 3 to 5 years of Life Science/Biotechnology/Pharmacology/Information Systems experience OR Diploma and 7 to 9 years of Life Science/Biotechnology/Pharmacology/ Information Systems experience

Candidate with 5–8 years of overall experience in software engineering, including 2-4 years of focused expertise in Data Governance practices such as data cataloguing, data lineage, data quality, data purging, data reliability, data accessibility. Required Candidate profile Strong experience with data governance tools (Ab Initio, Informatica, Atlan, Collibra, Snowflake,Databricks) Hands-on knowledge of data cataloguing, data lineage, data quality, and data access control Perks and benefits To be disclosed post interview

Entity: Technology Job Family Group: IT&S Group Job Description: Work location Pune You will work with Being part of a digital delivery data group supporting Realtime data for our Solutions group, you will apply your domain knowledge and familiarity with domain data processes to support the organisation. The data team provides daily operational data management, data engineering and analytics support to this organisation across a broad range of activity About The Role The Data Steward applies practitioner level knowledge of a business domain to curate and validate accuracy, security and referential integrity of data required to drive compliance, safety and business critical decision making. They are responsible for implementing technical changes and controls across systems of record and communicating planned changes to the data owners. They are responsible for implementing the data requirements to populate systems of record and transpose data between package software, including Input quality checks on received data and providing technical insights into creating, remediating and maintaining data definitions. What you will deliver Act as a custodian of Realtime engineering, reliability, maintenance and facilities data, ensuring data integrity, consistency, and compliance across the organization, prioritising safety and operational efficiency for the business. Your focus areas will include: production data sets, production accounting, forecasting and production optimisation Enforce data governance policies, standards, and regulations; participate in improvement of these based on business need. Assess, report on and resolve data quality issues through root cause analysis and remediation planning. Ensure that data, documents and models represent the physical reality of our assets. Responsible for implementing the data requirements to populate systems of record and transpose data between package software, including Input quality checks on received data Work closely with data engineers and business analysts to ensure high-quality, standardized data. Support business users by providing guidance on data usage, access, and policies. Implement technical changes and controls across systems of record and communicate planned changes to the data owners Assist in metadata management, ensuring all critical datasets are properly captured. Facilitate collaboration between business and technology teams to improve data literacy and governance. Support regulatory and compliance efforts related to data privacy, security, and access control. What you will need to be successful (experience and qualifications) Essential : Bachelor’s degree in a STEM area or equivalent experience Experience with Realtime facility telemetry and industrial data platforms Hands on experience in AVEVA PI portfolio including AVEVA PI Vision Experience with SCADA systems Knowledge and understanding of managing piping and instrumentation diagrams Working knowledge of oil and gas process equipment (separators, valves, heat exchanges, pumps, produced water system, glycol system, distillation) 2+ years experience in stewardship of datasets within an operating Oil & Gas organisation or asset-intensive industry Strong understanding of data governance frameworks, master data management principles, policies, and compliance within the wells & subsurface data domain. Ability to work with business and technical teams to resolve data quality issues. Excellent communication and documentation skills. Analytical mindset with a strong focus on data accuracy and process improvement. Desired : Proficiency in SQL and ability to work with large datasets. Experience with Palantir Foundry Familiarity with cloud data platforms (AWS, Azure, or GCP). Experience with data governance tools (e.g., Collibra, Alation, Informatica). About Bp Our purpose is to deliver energy to the world, today and tomorrow. For over 100 years, bp has focused on discovering, developing, and producing oil and gas in the nations where we operate. We are one of the few companies globally that can provide governments and customers with an integrated energy offering. Delivering our strategy sustainably is fundamental to achieving our ambition to be a net zero company by 2050 or sooner! Travel Requirement Up to 10% travel should be expected with this role Relocation Assistance: This role is eligible for relocation within country Remote Type: This position is a hybrid of office/remote working Skills: Legal Disclaimer: 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, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks. Show more Show less

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within…. Responsibilities Data Quality Strategy and Implementation: Engage with clients to understand their data quality requirements and business goals. Develop and implement data quality frameworks and solutions using tool such as Collibra and IDMC. Provide expert advice on industry best practices and emerging trends in data quality management. Tool Expertise: Utilize DQ tools such as Collibra, Talend, IDMC, etc. to manage and enhance data quality processes. Configure and customize Collibra workflows and IDMC data management solutions to meet specific client needs. Ensure seamless integration of data quality tools with existing data governance systems. Monitoring and Continuous Improvement: Establish data quality metrics and KPIs to assess effectiveness and drive continuous improvement. Conduct regular audits and assessments to ensure data quality standards are maintained. Facilitate workshops and training sessions to promote data quality awareness and best practices. Collaboration and Leadership: Work collaboratively with data architects, data analysts, IT, legal, and compliance teams to integrate data quality into broader data management initiatives. Mentor and guide junior team members, fostering a culture of knowledge sharing and professional growth. Mandatory Skill Sets Collibra, Informatica Data Management Cloud (IDMC) Preferred Skill Sets certifications in Collibra and Informatica Years Of Experience Required 4 – 7 yrs Education Qualification B.tech/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Collibra Data Governance Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date Show more Show less

This role is for one of our clients Industry: Technology, Information and Media Seniority level: Mid-Senior level Min Experience: 8 years Location: mumbai JobType: full-time About The Role We’re seeking a Lead Cloud Data Architect to design and lead the execution of enterprise-grade data platforms in a modern cloud environment. This is a strategic and hands-on role, ideal for a data expert who thrives in building scalable, high-performance ecosystems across Azure cloud services, big data platforms, and enterprise analytics tools. You’ll be instrumental in transforming our data infrastructure by driving architectural decisions, standardizing data governance, and ensuring secure, scalable, and accessible data systems. Your work will directly enable advanced analytics, reporting, and data science across the organization. What You’ll Be Doing Cloud Data Architecture Design modern, scalable data solutions on Microsoft Azure , integrating components such as Azure Data Lake, Azure Synapse, Azure SQL, and Azure Databricks. Build architecture blueprints to support streaming, batch, and real-time data processing. Data Pipelines & Engineering Build and orchestrate robust, fault-tolerant data pipelines using Azure Data Factory (ADF) , Databricks, and custom ETL frameworks. Drive transformation of structured, semi-structured, and unstructured data into optimized formats for downstream use. Big Data & Analytics Integration Utilize Azure Databricks for large-scale data processing, machine learning data prep, and distributed data transformations. Enable seamless data flows from lake to warehouse to visualization. Data Governance & Quality Implement robust data governance protocols including lineage, cataloging, classification, and access management. Ensure security, compliance, and adherence to regulatory data policies (GDPR, HIPAA, etc.). BI & Reporting Enablement Collaborate with analytics and reporting teams to provide highly available, performant, and clean data to tools like Power BI . Standardize KPIs, metrics definitions, and data sources for enterprise-wide reporting consistency. Collaboration & Leadership Engage with product owners, business leaders, and engineering teams to define long-term data strategies. Mentor engineers, review architectures, and set coding and documentation standards. What You Bring 8–10 years of experience in data architecture or engineering , including 5+ years designing solutions on Microsoft Azure . Expertise in Azure services: ADF, Azure Data Lake, Databricks, Synapse, Azure SQL , and Power BI. Proven experience building and optimizing ETL/ELT pipelines , with deep understanding of data transformation frameworks . Proficiency in Python , SQL , or Scala for scripting, data wrangling, and logic workflows. In-depth understanding of data modeling , data warehouse concepts, performance tuning, and storage optimization. Familiarity with DevOps and CI/CD pipelines in the context of data engineering. Strong collaboration, documentation, and communication skills — with the ability to work cross-functionally. Nice to Have Microsoft certifications such as Azure Data Engineer Associate or Solutions Architect . Hands-on experience with Azure Purview , Collibra , or other data governance and catalog tools. Familiarity with Apache Spark , version control systems, containerization (Docker), and orchestration (Kubernetes). Show more Show less

Presidio, Where Teamwork and Innovation Shape the Future At Presidio, we’re at the forefront of a global technology revolution, transforming industries through cutting-edge digital solutions and next-generation AI. We empower businesses—and their customers—to achieve more through innovation, automation, and intelligent insights. The Role Presidio Senior Engineer will be responsible for driving the development of reliable, scalable, and high-performance data systems. This role requires a strong foundation in cloud platforms, data engineering best practices, and data warehousing. The ideal candidate has hands-on experience in building robust ETL/ELT pipelines Responsibilities Include Design, develop, and maintain scalable ETL/ELT data pipelines for batch and real-time data processing. Build and optimise cloud-native data platforms and data warehouses (e.g., Snowflake, Redshift, BigQuery). Design and implement data models, including normalised and dimensional models (star/snowflake schema). Collaborate with cross-functional teams to gather requirements and deliver reliable data solutions. Ensure data quality, consistency, governance, and security across data platforms. Optimise and tune SQL queries and data workflows for performance and cost efficiency. Lead or mentor junior data engineers and contribute to team-level planning and design. Must-Have Qualifications Cloud Expertise: Strong experience with at least one cloud platform (AWS, Azure, or GCP). Programming: Proficiency in Python, SQL, and shell scripting. Data Warehousing & Modeling: Deep understanding of warehousing concepts and best practices. ETL/ELT Pipelines: Proven experience with building pipelines using orchestration tools like Airflow or DBT. Experience with CI/CD tools and version control (Git). Familiarity with distributed data processing and performance optimisation. Good-to-Have Skills Hands-on experience with UI-based ETL tools like Talend, Informatica, or Azure Data Factory. Exposure to visualisation and BI tools such as Power BI, Tableau, or Looker. Knowledge of data governance frameworks and metadata management tools (e.g., Collibra, Alation). Experience in leading data engineering teams or mentoring team members. Understanding of data security, access control, and compliance standards (e.g., GDPR, HIPAA). Your future at Presidio Joining Presidio means stepping into a culture of trailblazers—thinkers, builders, and collaborators—who push the boundaries of what’s possible. With our expertise in AI-driven analytics, cloud solutions, cybersecurity, and next-gen infrastructure, we enable businesses to stay ahead in an ever-evolving digital world. Here, your impact is real. Whether you're harnessing the power of Generative AI, architecting resilient digital ecosystems, or driving data-driven transformation, you’ll be part of a team that is shaping the future. Ready to innovate? Let’s redefine what’s next—together. About Presidio At Presidio, speed and quality meet technology and innovation. Presidio is a trusted ally for organizations across industries with a decades-long history of building traditional IT foundations and deep expertise in AI and automation, security, networking, digital transformation, and cloud computing. Presidio fills gaps, removes hurdles, optimizes costs, and reduces risk. Presidio’s expert technical team develops custom applications, provides managed services, enables actionable data insights and builds forward-thinking solutions that drive strategic outcomes for clients globally. For more information, visit www.presidio.com . Presidio is committed to hiring the most qualified candidates to join our amazing culture. We aim to attract and hire top talent from all backgrounds, including underrepresented and marginalized communities. We encourage women, people of color, people with disabilities, and veterans to apply for open roles at Presidio. Diversity of skills and thought is a key component to our business success. Recruitment Agencies, Please Note: Presidio does not accept unsolicited agency resumes/CVs. Do not forward resumes/CVs to our careers email address, Presidio employees or any other means. Presidio is not responsible for any fees related to unsolicited resumes/CVs. Show more Show less

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary : Senior Data Governance Developer Responsibilities Strong understanding & hands on experience on Collibra or other Data Governance tools. Experience with designing & implementing operating model in DGC, scanning different sources & harvesting lineage via connectors, Rest API knowledge Experience in designing, developing & configuring workflows using Eclipse. Good experience in groovy scripting Experience with lineage harvesting in Collibra to track data movement and transformations across systems Good understanding & experience in developing & implementing Data Governance, Metadata Management, Data Quality - frameworks, policies & processes Good Knowledge of industry standards & regulations on Data Management - BCBS239, GDPR Excellent communication & interpersonal skills, with the ability to interact effectively with senior stakeholders & cross-functional teams Experience in working on RFPs, internal/external POVs, Accelerators and other frameworks Mandatory Skill Sets Collibra Preferred Skill Sets Collibra Years Of Experience Required 4-7 Education Qualification BTech/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Data Governance Optional Skills Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date Show more Show less

COMPANY OVERVIEW KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities. KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds. KKR’s insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group. References to KKR’s investments may include the activities of its sponsored funds and insurance subsidiaries. KKR's Gurugram office provides best in class services and solutions to our internal stakeholders and clients, drive organization wide process efficiency and transformation, and reflect KKR's global culture and values of teamwork and innovation. The office will contain multifunctional business capabilities and will be integral in furthering the growth and transformation of KKR. TEAM OVERVIEW KKR has built out an enterprise Data Operations group to collect, manage, and harness the power of data across our diverse business activities. The Data Operation Centre of Excellence (CoE) is a cross functional team dedicated to formulating & driving KKR’s enterprise data management strategy while also providing the operation leverage required to bring these strategies/frameworks to life. The Data Ops CoE consists of 2 focus areas (pillars); Data Management and Data Delivery. POSITION OVERVIEW The role is responsible for executing data management processes aimed at ensuring clean and quality data in the KKR data ecosystem. They will be part of KKR’s enterprise data group which collects, manages, and harnesses the power of data across our diverse portfolio investments. They will work collaboratively across the firm to set standards & best practices for data management while providing the operating leverage to centrally support the roll-out/ execution of these frameworks ROLES & RESPONSIBILITIES Operational Excellence Develop specifications as well as testing and enhancing tools/applications in conjunction with the IT team to maintain complete, accurate and up to date data Maintain consistent, accurate and complete data within KKR’s data ecosystem Implement data quality controls leveraging industry best tools i.e. Collibra Create and maintain data quality reporting functionality as per business needs Ensure data governance practices and activities are embedded across business units Execute and manage ad hoc data related projects within specified deadlines Collibra workflow development and maintenance Stakeholder Management Collaborate with engineering and IT to support and make recommendations for enhanced digital reporting capabilities and automated data reconciliation Communicate and work closely with relevant teams to close data gaps in a clear and timely manner Serve as point of contact for data-related questions and updates from various internal and external groups, delivering ad-hoc analytics to answer key business questions in a timely manner Reporting & Governance Design and document standard operating procedures for data management Implement and own best in class data governance practices; ensuring that data is well defined & transparently documented QUALIFICATIONS Bachelor’s Degree or equivalent work experience required 2-4 years of data operation experience in financial services Experience in a multinational Financial Services organization and/or Private Equity preferred Ability to manage standard reports, templates & dashboards Ability to validate and review data Ability to provide support for internal stakeholders by sending reminders of emails, filling timesheets, collecting information as per service requests Ability to adhere to the compliance requirements of processes Ability to develop and enhance data protection and management tools or applications Ability to design and execute data management focusing on data governance and data quality activities. Experience of using tool like Collibra is a must. Systems/ Tools/ Application knowledge: Experience with process design and process enhancement Proficiency in data operations and data management Advanced proficiency in Excel Skills in a BI tool such as Power BI Advanced SQL skills Experience with Python is a plus Displays high attention to detail Demonstrates outstanding initiative and strong work ethic Focuses on delivery excellence and accountability Displays team-work orientation and is highly collaborative Displays strong integrity and professionalism Builds strong relationships with local and global colleagues Demonstrates strong track record in accuracy and organization Demonstrates excellent written, verbal, and interpersonal communication skills #LI-Onsite KKR is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.

For The DG Role The Requirements Are As Follows Deliverables Enhance and standardised Collibra data glossary. Linke assets, logical models, and processes within Collibra. Updated and verified data lineage and quality metrics. Reporting and dashboards in Collibra for governance oversight. Creation of SOP’s or process documents so everyone can align Then Someone Who Can identify gaps and recommend improvements without requiring constant oversight. Document processes, decisions and the work being completed in Collibra Has experience in using Collibra Is familiar with data models and can link them to the Collibra assets Nice to have Someone who has knowledge of Home and Motor claims business and the underlying insights Experience with Confluence. Will likely be creating SOPs and process documents in Confluence Show more Show less

Job Title: Collibra developer Total years of experience: 4 years to 7 years Location: Mumbai Notice period: Immediate to 30 days Job description: Develop and design custom Collibra workflows that meet business and governance requirements for data product management, access management, data catalog management using Workflow Designer module. Integrate Collibra seamlessly with Azure using out of the box and custom connectors, ensuring optimal performance and scalability. Collaborate with cross-functional business teams to understand functional data governance workflow requirements and translate them into effective Collibra workflow diagrams. Utilize Groovy scripting to develop the required workflows and enhance Collibra functionalities. Provide technical expertise and guidance on best practices for designing and implementing workflows using Collibra in an Azure services and environment. Conduct thorough testing and validation of workflows to ensure robustness and reliability. Document solutions and create user guides to facilitate smooth adoption and usage by Amadeus teams Coordinate in change management process Resolve technical issues as required. Support and enhance data management and governance initiatives Technical Skills Implementation, configuration, maintenance of Collibra environments. Expert in Development of custom workflows on Collibra platform, managing Data catalogues for Azure services, mapping business/technical requirements to Collibra features. Experience in data product management, data sharing, data access using Collibra Experience in installing Collibra Connectors, running ingestions from a variety of sources especially from Azure eco-system and hands-on experience Collibra, its JAVA & REST APIs including ability develop groovy scripts. Experience in Production Rollouts and successful implementation of Collibra features. Complies with security standards and technical design. Experience with standard software development methodologies, knowledge of Agile methodology is highly desirable.

Greetings from Technogen !!! We thank you for taking time about your competencies and skills, while allowing us an opportunity to explain about us and our Technogen , we understand that your experience and expertise are relevant the current open with our clients. TechnoGen Brief Overview: TechnoGen, Inc. is an ISO 9001:2015, ISO 20000-1:2011, ISO 27001:2013, and CMMI Level 3 Global IT Services Company headquartered in Chantilly, Virginia. TechnoGen, Inc. (TGI) is a Minority & Women-Owned Small Business with over 20 years of experience providing end-to-end IT Services and Solutions to the Public and Private sectors. TGI provides highly skilled and certied professionals and has successfully executed more than 345 projects. TechnoGen is committed to helping our clients solve complex problems and achieve their goals, on time and under budget. LinkedIn: https://www.linkedin.com/company/technogeninc/about/ Job Title : Senior Data Engineer Location : Hyderabad Required Experience : 5+ years Job Summary :- Overview: Seeking a Senior Data Engineer to design and optimize scalable data pipeline architectures and support analytics needs across cross-functional teams. Key Responsibilities: Design, build, and maintain data pipelines (ETL/ELT) using BigQuery, Python, and SQL Optimize data flow, automate processes, and scale infrastructure Develop and manage workflows in Airflow/Cloud Composer and Ascend (or similar ETL tools) Implement data quality checks and testing strategies Support CI/CD (DevSecOps) processes, conduct code reviews, and mentor junior engineers Collaborate with QA/business teams and troubleshoot issues across environments Core Skills: BigQuery, Python, SQL, Collibra, Airflow/Cloud Composer, Ascend or similar ETL tools Data integration, warehousing, and pipeline orchestration Data quality frameworks and incremental load strategies Strong experience with GCP or AWS serverless data warehouse environments Preferred Skills: DBT for transformation Collibra for data governance Working with unstructured datasets Qualifications: 5+ years in data engineering Graduate degree in CS, Statistics, or related field Strong analytical and SQL expertise Best Regards, Rampelli Kiran Kumar| Sr.IT Recruiter kiran.r@technogenindia.com www.technogenindia.com | Follow us on LinkedIn

We are seeking a skilled and experienced Collibra Developer to support and enhance our data governance and metadata management capabilities. The ideal candidate will be responsible for designing, developing, implementing, and maintaining Collibra solutions, integrating with various enterprise data systems, and ensuring alignment with data governance standards and business requirements. Key Responsibilities: Design and configure Collibra Data Intelligence Cloud solutions (Data Catalog, Data Governance, Lineage, Privacy). Develop and maintain workflows using Collibra Workflow Designer (BPMN). Integrate Collibra with enterprise systems (ETL tools, BI tools, data lakes/warehouses) via APIs, JDBC, or other connectors. Define and maintain data domains, data dictionaries, business glossaries, and data stewardship roles. Required Qualifications: Bachelor's degree in Computer Science, Information Systems, or related field. 5-7+ years of experience working with Collibra Data Intelligence Platform. Hands-on experience in Collibra Administration, Workflow Development (BPMN), and DGC configuration. Interested candidates share your CV at himani.girnar@alikethoughts.com with below details Candidate's name- Email and Alternate Email ID- Contact and Alternate Contact no- Total exp- Relevant experience- Current Org- Notice period- CCTC- ECTC- Current Location- Preferred Location- Pancard No-

Data Modeller Role & Responsibilities Role Overview: We are seeking a talented and forward-thinking Data Modeler for one of the large financial services GCC based in Hyderabad with responsibilities that include designing and implementing data models, ensuring data integrity and optimization, collaborating with stakeholders, supporting data queries, and ensuring data governance and compliance. Technical Requirements: Experience in Relational/Normalized Data Modelling Strong Business Analysis skills Proficiency in Data Analysis Ability to develop conceptual, logical, and physical data models to support business requirements Experience in developing enterprise data models for OLTP, Analytics/AI/ML environments Familiarity with data modelling tools such as ER Studio, EA Sparx, Collibra Knowledge of metadata modelling, management, and tooling Implementation experience of physical models for interfaces, data stores, and cloud-based solutions Participation in governing data models Familiarity with Finance and Reference Data Models such as BIAN, ISO20022, FIBO, FSLDM Functional Requirements: Analyzing Data Requirements Creating/Modifying Entities and Attributes in BDM Identifying Reference Domains Peer reviewing BDM changes made by other Data Modelers Reviewing Physical data models to ensure alignment with logical definitions Uploading extension attributes into Collibra Coordinating modelling efforts across the Platform Resolving any overlap/duplication/contradiction in Platform BDM Adopting and enforcing standards and guidelines for BDM Preparing BDM for integration with GDM Attending cross-Platform sessions to coordinate at an enterprise level. This role offers a compelling opportunity for a seasoned Data Modeler to drive transformative cloud initiatives within the financial sector, leveraging unparalleled experience and expertise to deliver innovative cloud solutions that align with business imperatives and regulatory requirements. Qualification Engineering Grad / Postgraduate CRITERIA Proficient in relational data modeling and business analysis with metadata management experience. Skilled in developing conceptual, logical, and physical data models for varied environments. Familiarity with data modeling tools like ER Studio, EA Sparx, and Collibra. Experience in creating and governing data models, including financial and reference models. Ability to coordinate and resolve model discrepancies across platforms with a focus on integration. Relevant Experience: 6-9 years

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. 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. The opportunity The objective of our Digital Risk Consulting service is to support clients with the development, implementation, improvement, and modernization of their technology risk and compliance programs to address the constantly changing risk and technology landscape. Our solutions can be used by our clients to build confidence and trust with their customers, the overall market, and when required by regulation or contract. Your Key Responsibilities You will operate as a team leader for engagements to help our clients develop and strengthen their IT risk and compliance programs. You will work directly with clients to review their IT processes and controls, remediate and implement controls, onboard new tools and services into risk and compliance frameworks, and assist with the readiness and adherence for new compliance regulations. Your responsibilities include both in-person and remote oversight and coaching of engagement team members, reporting to both senior engagement team members and client leadership, as well as partnering with our key client contacts to complete the engagement work. What You'll Do Designing and implementing solutions to various data related technical/compliance challenges such as DevSecOps, data strategy, data governance, data risks & relevant controls, data testing, data architecture, data platforms, data solution implementation, data quality and data security to manage and mitigate risk. Leveraging data analytics tools/software to build robust and scalable solutions through data analysis and data visualizations using SQL, Python and visualization tools Design and implement comprehensive data analytics strategies to support business decision-making. Collect, clean, and interpret large datasets from multiple sources, ensuring completeness, accuracy and integrity of data. Integrating and/or piloting next-generation technologies such as cloud platforms, machine learning and Generative AI (GenAI) Developing custom scripts and algorithms to automate data processing and analysis to generate insights Applying business / domain knowledge including regulatory requirements and industry standards to solve complex data related challenges Analyzing data to uncover trends and generate insights that can inform business decisions Build and maintain relationships across Engineering, Product, Operations, Internal Audit, external audit and other external stakeholders to drive effective financial risk management. Work with DevSecOps, Security Assurance, Engineering, and Product teams to improve efficiency of control environments and provide risk management through implementation of automation and process improvement Bridge gaps between IT controls and business controls, including ITGCs and automated business controls. Work with IA to ensure complete control environment is managed Work with emerging products to understand risk profile and ensure an appropriate control environment is established Implement new process and controls in response to changes to the business environment, such as new product introduction, changes in accounting standards, internal process changes or reorganization. What You'll Need Experience in data architecture, data management, data engineering, data science or data analytics Experience in building analytical queries and dashboards using SQL, noSQL, Python etc Proficient in SQL and quantitative analysis, you can deep dive into large amounts of data, draw meaningful insights, dissect business issues and draw actionable conclusions Knowledge of tools in the following areas: Scripting and Programming (e.g., Python, SQL, R, Java, Scala, etc) Big Data Tools (e.g., Hadoop, Hive, Pig, Impala, Mahout, etc) Data Management (e.g., Informatica, Collibra, SAP, Oracle, IBM etc) Predictive Analytics (e.g., Python, IBM SPSS, SAS Enterprise Miner, RPL, Matl, etc) Data Visualization (e.g., Tableau, PowerBI, TIBCO-Spotfire, CliqView, SPSS, etc) Data Mining (e.g., Microsoft SQL Server, etc) Cloud Platforms (e.g., AWS, Azure, or Google Cloud) Ability to analyze complex processes to identify potential financial, operational, systems and compliance risks across major finance cycles Ability to assist management with the integration of security practices in the product development lifecycle (DevSecOps) Experience with homegrown applications in a microservices/dev-ops environment Experience with identifying potential security risks in platform environments and developing strategies to mitigate them Experience with SOX readiness assessments and control implementation Knowledge of DevOps practices, CI/CD pipelines, code management and automation tools (e.g., Jenkins, Git, Phab, Artifactory, SonarQube, Selenium, Fortify, Acunetix, Prisma Cloud) Preferred: Experience in: Managing technical data projects Leveraging data analytics tools/software to develop solutions and scripts Developing statistical model tools and techniques Developing and executing data governance frameworks or operating models Identifying data risks and designing and/or implementing appropriate controls Implementation of data quality process Developing data services and solutions in a cloud environment Designing data architecture Analyzing complex data sets & communicating findings effectively Process management experience, including process redesign and optimization Experience in scripting languages (e.g., Python, Bash) Experience in cloud platforms (e.g., AWS, Azure, GCP) and securing cloud-based applications/services To qualify for the role, you must have A bachelor's or master's degree 1-3 years of experience working as an IT risk consultant or data analytics experience. Bring your experience in applying relevant technical knowledge in at least one of the following engagements: (a) risk consulting, (b) financial statement audits; (c) internal or operational audits, (d) IT compliance; and/or (e) Service Organization Controls Reporting engagements. We would expect for you to be available to travel outside of their assigned office location at least 50% of the time, plus commute within the region (where public transportation often is not available). Successful candidates must work in excess of standard hours when necessary. A valid passport is required. Ideally, you’ll also have A bachelor's or master's degree in business, computer science, information systems, informatics, computer engineering, accounting, or a related discipline CISA, CISSP, CISM, CPA or CA certification is desired; non-certified hires are required to become certified to be eligible for promotion to Manager. 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