866 Collibra Jobs - Page 27

Project Role : Data Governance Practitioner Project Role Description : Establish and enforce data governance policies to ensure the accuracy, integrity, and security of organizational data. Collaborate with key stakeholders to define data standards, facilitate effective data collection, storage, access, and usage; and drive data stewardship initiatives for comprehensive and effective data governance. Must have skills : Collibra Data Governance Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Governance Practitioner, you will establish and enforce data governance policies to ensure the accuracy, integrity, and security of organizational data. Collaborate with key stakeholders to define data standards, facilitate effective data collection, storage, access, and usage; and drive data stewardship initiatives for comprehensive and effective data governance. 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 - Lead data governance initiatives within the organization - Develop and implement data governance policies and procedures - Ensure compliance with data governance standards and regulations Professional & Technical Skills: - Must To Have Skills: Proficiency in Collibra Data Governance - Strong understanding of data governance principles - Experience in implementing data governance frameworks - Knowledge of data quality management - Familiarity with data privacy regulations Additional Information: - The candidate should have a minimum of 5 years of experience in Collibra Data Governance. - This position is based at our Pune office. - A 15 years full time education is required. Show more Show less

About Us JOB DESCRIPTION SBI Card is a leading pure-play credit card issuer in India, offering a wide range of credit cards to cater to diverse customer needs. We are constantly innovating to meet the evolving financial needs of our customers, empowering them with digital currency for seamless payment experience and indulge in rewarding benefits. At SBI Card, the motto 'Make Life Simple' inspires every initiative, ensuring that customer convenience is at the forefront of all that we do. We are committed to building an environment where people can thrive and create a better future for everyone. SBI Card is proud to be an equal opportunity & inclusive employer and welcome employees without any discrimination on the grounds of race, colour, gender, religion, creed, disability, sexual orientation, gender identity, marital status, caste etc. SBI Card is committed to fostering an inclusive and diverse workplace where all employees are treated equally with dignity and respect which makes it a promising place to work. Join us to shape the future of digital payment in India and unlock your full potential. What’s In It For YOU SBI Card truly lives by the work-life balance philosophy. We offer a robust wellness and wellbeing program to support mental and physical health of our employees Admirable work deserves to be rewarded. We have a well curated bouquet of rewards and recognition program for the employees Dynamic, Inclusive and Diverse team culture Gender Neutral Policy Inclusive Health Benefits for all - Medical Insurance, Personal Accidental, Group Term Life Insurance and Annual Health Checkup, Dental and OPD benefits Commitment to the overall development of an employee through comprehensive learning & development framework Role Purpose The Program Delivery Leader will be responsible for managing data initiatives/programs of data function. Role Accountability Defining standards and best practices for data analysis, modelling and queries by adopting strong data governance practices to ensure data accuracy, consistency and reliability Work closely with business teams and provide data requirements that may arise from new initiatives which may be required for analytics & reporting Lead design, development and implementation of D&A solutions through data driven analysis for achieving business goals and objectives by liaisoning between D&A and business teams Work with business teams and Data Lake technology team and lead the programs and data initiatives arising due to new needs arising from business, audits, regulatory Actively participate in the new product initiatives and provide data requirements to be implemented for NPIs and ensure that same are implemented for appropriate data insights and analytics Role is responsible for managing the data dictionary and ensuring it is always updated with the latest information, maintaining data quality and making data usable and accessible to all relevant stakeholders Role will be responsible for supporting data audits & its closure and implementation of compliance requirement for data platform. Additionally, role will help in managing budgets, policies & PMO for BIU function Ensure technical support is provided to Insights and reporting team wherever required to meet the data extraction & analysis requirements Person is required to build a strong understanding of data processes across the card lifecycle, how and where the data is stored across multiple layers of data platforms. Collaborate with senior leadership team, Function heads and BIU Program management team to understand their data needs and deliver the same through the implementation of data initiatives and projects As a People Manager of 10 team members, provide strategic direction, performance management and career development opportunities for team members by fostering a culture of driving data driven decision making Measures of Success Deliver data projects On Time and accurately to drive business decision making Maintain up to date data dictionary Deliver on data extraction and other service tickets within SLA Technical Skills / Experience / Certifications Good knowledge of SAS, Python, SQL & ETL technologies esp. in Big Data Environment Good working knowledge of BI tools like Tableau, Power BI, etc. Competencies critical to the role Person should have strong experience of leading teams preferably in BFSI segment Good knowledge of business processes & key business metrics to provide effective solutions Person should have good experience of data governance practices, and its related tools and processes required for maintaining data dictionary & good data quality standards Person is required to lead cross functional teams to execute data processing asks and hence he should be: Strong team player - Inclusive who can collaborate with multiple teams and drive them towards achieving a common goal Strong analytical skills – strong problem-solving skills, communicates in a clear and succinct manner and effectively evaluates information / data to make decisions; anticipates obstacles and develops plans to resolve Strong business acumen with the ability to understand and align with business goals Demonstrated customer focus – evaluates decisions through the eyes of the customer; builds strong relationships and creates processes which helps with timely availability of data to all stakeholders Should have very good written and verbal communication skills Qualification Graduate or Postgraduate in Computer Science, Data Science, Statistics, Data Analytics or related fields from good institute. Desired - Analytics certifications like Certified Analytics Professional (CAP), Google Data Analytics Professional, etc. Have experience of working on Data Lake using Hadoop or Data bricks. Have used data tools like Collibra to achieve data quality Preferred Industry BFSI Show more Show less

Job Description WHO WE ARE Come join our Technology Team and start reimagining the future of the automotive aftermarket. We are a highly motivated tech-focused organization, excited to be amid dynamic innovation and transformational change. Driven by Advance’s top-down commitment to empowering our team members, we are focused on delighting our Customers with Care and Speed, through delivery of world class technology solutions and products. We value and cultivate our culture by seeking to always be collaborative, intellectually curious, fun, open, and diverse. You will be a key member of a growing and passionate group focused on collaborating across business and technology resources to drive forward key programs and projects building enterprise capabilities across Advance Auto Parts. Join the AAP team and start reimagining the future of automotive retail. Disrupt the way consumers buy auto parts and take on the industry’s biggest challengers to execute on AAP's top-down commitment to digital expansion. As a member of the Advance Auto Parts team, you will have an opportunity to disrupt a $150B auto parts industry to bring better and faster solutions to customers. You will be part of a team helping the company live its mission of “Advancing a World in Motion”. The role is part of a merit-based organization with a culture of professional growth and development, and emphasis on the latest tools, platforms and technologies. Job Summary Support AAP Enterprise Data Governance activities, focusing primarily on Independent Carquest locations and providing influence and oversight of the other data domains such as Retail Customer, Product, and Vendor. Define & implement data quality management, including the development of data quality rules for critical data elements based on the selected data quality dimensions and designing the data quality results database, dashboard, integration with Collibra, and the automation of the process. Essential Duties & Responsibilities Play an active role in the Data Governance Organization for the Independent Carquest locations domain, and be a strong advocate for tool usage, integration, and standards. Organizational commitment to ensure ongoing effective communication between all facets of the business regarding the Independent Carquest Customer domain. Establish the roadmap/timing for the development and implementation of the data profiling and data quality processes. Support the documentation of the data quality framework and associated tasks in the data governance playbook. Develop and support the data quality issue management and resolution process. Clear understanding of Customer master data concepts, such as – Merge Customers, Unmerge Customers, Match rules, Survivorship rules, Hierarchies, etc., Ability to roll up your sleeves and dive into the data analysis using SQL, data quality tools, business intelligence tools, etc., to query the data on the various systems within AAP to determine how to integrate, standardize, and harmonize the data. Ability to document and implement data quality policies, procedures, and standards. Required Professional And Technical Expertise Passionate about data and highly motivated, with a strong work experience in implementing Data Governance and working with business and IT stakeholders. Bachelor’s Degree in relevant field; 7-10+ years data analyst with experience in data management; especially data quality, metadata management, master data management, data profiling or equivalent combination of education and experience. 2+ years of recent experience in data governance/data quality management, & data governance, along with a data management background. 2+ years’ experience using data profiling and data quality tools in measuring data quality of critical data elements tool Leader within the team to establish the data quality dimensions and build a process to govern them. Ability to support the stewards and data governance groups in prioritizing and determining the remediation method for data quality issues. Experience in reactive and proactive data quality methods. At least 1-year experience in MDM (Master data management) with Reltio or similar product At least 1-year experience using and setting up SharePoint for managing data governance artifacts Strong knowledge in SQL (2+ years) Experience using data profiling/wrangling and data quality tools (Example: IDQ, Trillium, Paxata, Trifacta, Tamlr, etc.) Helps design and implement Data Quality Controls, directs all aspects of data use and requirements across the enterprise and promotes treatment of data and information as critical enterprise assets. Working knowledge using common file formats such as CSV, TEXT, JSON, XML, XSD, etc. Strong problem solving and analytic skills Excellent verbal and written communication skills Data quality and data risk management expertise, including understanding of regulations, compliance, standards, methods, processes, tools, and controls to manage enterprise-wide Retail/Wholesale Automotive experience a plus Salesforce.com experience a plus Working knowledge of Collibra is a plus California Residents Click Below For Privacy Notice https://jobs.advanceautoparts.com/us/en/disclosures We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age national origin, religion, sexual orientation, gender identity, status as a veteran and basis of disability or any other federal, state or local protected class. Show more Show less

Job Description WHO WE ARE Come join our Technology Team and start reimagining the future of the automotive aftermarket. We are a highly motivated tech-focused organization, excited to be amid dynamic innovation and transformational change. Driven by Advance’s top-down commitment to empowering our team members, we are focused on delighting our Customers with Care and Speed, through delivery of world class technology solutions and products. We value and cultivate our culture by seeking to always be collaborative, intellectually curious, fun, open, and diverse. You will be a key member of a growing and passionate group focused on collaborating across business and technology resources to drive forward key programs and projects building enterprise capabilities across Advance Auto Parts. The Opportunity Join the AAP team and start reimagining the future of automotive retail. Disrupt the way consumers buy auto parts and take on the industry’s biggest challengers to execute on AAP's top-down commitment to digital expansion. As a member of the Advance Auto Parts team, you will have an opportunity to disrupt a $150B auto parts industry to bring better and faster solutions to customers. You will be part of a team helping the company live its mission of “Advancing a World in Motion”. The role is part of a merit-based organization with a culture of professional growth and development, and emphasis on the latest tools, platforms and technologies. Job Summary Design and build stunning and creative front-end user experiences in PBI with an emphasis on big data visualization and analytics Ensure delightful user experience through fast, interactive and attractive data visualization and story telling Develop answers to complex business questions through data analysis, applying various techniques and methods Apply a healthy combination of technical skills and business acumen, to translate data into business insights to support data driven decision making Essential Duties & Responsibilities Develop, construct, test and maintain a variety of data explorations, data wrangling, and data visualizations using Power BI, including working with stakeholders to capture requirements and feedback. Develop UX designs to be followed from both PBI developers and self-service community Work with data architects to facilitate technical design of complex data sourcing, transformation and aggregation logic, ensuring business analytics requirements are met. Guide and support other Power BI developers with technical expertise and advice Develop best practices and standards around Power BI Development Process, cleanse, and verify data-integrity for analysis. Analyze data for errors and inconsistencies. Thoroughly document logic and certification using Confluence and Collibra. Required Professional And Technical Expertise Bachelor’s Degree in related field or equivalent experience. 3+ years of end-to-end experience in working with data; including data discovery, data integration, data analysis, data manipulation, data optimization, row-level security, and creation of reports & visualizations Extensive experience building complex DAX functions, SQL scripts, reports, and dashboards Extensive experience working with data gateway, data integration, self-service data preparation Experience querying/joining databases and using statistical computer languages: R, Python, SQL, SPSS, etc. Deeply knowledgeable in Business Intelligence Life Cycle; from data ingestion to data visualization Knowledgeable in Agile software development and DevOps methodologies. Ability to estimate technical requirements and break down work to user stories and tasks. Familiarity with version control tools (Github, Bitbucket, etc) & JIRA is a plus. Has strong presentation and collaboration skills and can communicate all aspects of the job requirements, including the creation of formal documentation Independent. Strong critical thinking, decision making, troubleshooting and problem-solving skills while also being able to provide regular status updates and identify blockers & solutions. Go-Getter. Possesses strong, planning, execution and multitasking skills and demonstrated ability to reprioritize accordingly. Must be able to manage quickly changing priorities while meeting deadlines. California Residents Click Below For Privacy Notice https://jobs.advanceautoparts.com/us/en/disclosures We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age national origin, religion, sexual orientation, gender identity, status as a veteran and basis of disability or any other federal, state or local protected class. 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. 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. Role: Senior Associate Tower: Data, Analytics & Specialist Managed Service Experience: 5.5 - 10 years Educational Qualification: BE / B Tech / ME / M Tech / MBA Work Location: Bangalore Job Description As a Senior 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 6 years hand on experience building advanced Data warehousing solutions on leading cloud platforms. Should have minimum 3-5 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 modeling, 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, Snowflake, 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

Job Description: QA DBT Engineer Job Location: Hyderabad / Bangalore / Chennai / Kolkata / Noida/ Gurgaon / Pune / Indore / Mumbai Minimum of 8 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. Familiarity with version control tools like Git. Understanding of data governance, metadata, and data quality principles. Strong analytical and problem-solving skills with attention to detail. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here .

Job Description: Collibra Data Governance Specialist Job Location: Hyderabad / Bangalore / Chennai / Kolkata / Noida/ Gurgaon / Pune / Indore / Mumbai Required Skills 5 - 15 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. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here .

Job Description: QA DBT Engineer Job Location: Hyderabad / Bangalore / Chennai / Kolkata / Noida/ Gurgaon / Pune / Indore / Mumbai 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. Familiarity with version control tools like Git. Understanding of data governance, metadata, and data quality principles. Strong analytical and problem-solving skills with attention to detail. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here .

Job Title: Data Governance Specialist Job Description: A Data Governance Specialist will be responsible for several technical tasks, including developing and maintaining Collibra workflows, creating and maintaining integrations between data systems, data catalogs, and data quality tools. Additionally, other tasks related to managing metadata, master data, and business glossary will be required. Key Responsibilities: Develop and maintain Collibra workflows to support data governance initiatives. Create and maintain integrations between data systems and data governance tools. Write and maintain data quality rules to measure data quality. Work with vendors to troubleshoot and resolve technical issues related to workflows and integrations. Work with other teams to ensure adherence to DG policies and standards. Assist in implementing data governance initiatives around data quality, master data, and metadata management. Qualifications: Strong programming skills. Knowledge of system integration and use of middleware solutions. Proficiency in SQL and relational databases. Understanding of data governance, including data quality, master data, and metadata management. Willingness to learn new tools and skills. Preferred Qualifications: Proficient with Java or Groovy. Proficient with Mulesoft or other middleware. Proficient with Collibra DIP, Collibra Data Quality, and DQLabs. Experience with AWS Redshift, and Databricks. Show more Show less

We are looking for a dedicated and proficient Senior Data DevOps Engineer with extensive MLOps knowledge to enhance our team. The ideal candidate should possess a comprehensive knowledge of data engineering, data pipeline automation, and machine learning model operationalization. The role demands a cooperative professional skilled in designing, deploying, and managing extensive data and ML pipelines in alignment with organizational objectives. Responsibilities Develop, deploy, and manage Continuous Integration/Continuous Deployment (CI/CD) pipelines for data integration and machine learning model deployment Set up and sustain infrastructure for data processing and model training through cloud-based resources and services Automate processes for data validation, transformation, and workflow orchestration Work closely with data scientists, software engineers, and product teams for a smooth integration of ML models into production Enhance model serving and monitoring to boost performance and dependability Manage data versioning, lineage tracking, and the reproducibility of ML experiments Actively search for enhancements in deployment processes, scalability, and infrastructure resilience Implement stringent security protocols to safeguard data integrity and compliance with regulations Troubleshoot and solve issues throughout the data and ML pipeline lifecycle Requirements Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field 4+ years of experience in Data DevOps, MLOps, or similar roles Proficiency in cloud platforms such as Azure, AWS, or GCP Background in Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Ansible Expertise in containerization and orchestration technologies including Docker and Kubernetes Hands-on experience with data processing frameworks such as Apache Spark and Databricks Proficiency in programming languages including Python with an understanding of data manipulation and ML libraries like Pandas, TensorFlow, and PyTorch Familiarity with CI/CD tools including Jenkins, GitLab CI/CD, and GitHub Actions Experience with version control tools and MLOps platforms such as Git, MLflow, and Kubeflow Strong understanding of monitoring, logging, and alerting systems including Prometheus and Grafana Excellent problem-solving abilities with capability to work independently and in teams Strong skills in communication and documentation Nice to have Background in DataOps concepts and tools such as Airflow and dbt Knowledge of data governance platforms like Collibra Familiarity with Big Data technologies including Hadoop and Hive Certifications in cloud platforms or data engineering Show more Show less

You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world. Job Description: Are you ready to shine? At Sun Life, we empower you to be your most brilliant self. Who we are? Sun Life is a leading financial services company with 157 years of history that helps our clients achieve lifetime financial security and live healthier lives. We serve millions in Canada, the U.S., Asia, the U.K., and other parts of the world. We have a network of Sun Life advisors, third-party partners, and other distributors. Through them, we’re helping set our clients free to live their lives their way, from now through retirement. We’re working hard to support their wellness and health management goals, too. That way, they can enjoy what matters most to them. And that’s anything from running a marathon to helping their grandchildren learn to ride a bike. To do this, we offer a broad range of protection and wealth products and services to individuals, businesses, and institutions, including: Insurance. Life, health, wellness, disability, critical illness, stop-loss, and long-term care insurance Investments. Mutual funds, segregated funds, annuities, and guaranteed investment products Advice. Financial planning and retirement planning services Asset management. Pooled funds, institutional portfolios, and pension funds With innovative technology, a strong distribution network and long-standing relationships with some of the world’s largest employers, we are today providing financial security to millions of people globally. Sun Life is a leading financial services company that helps our clients achieve lifetime financial security and live healthier lives, with strong insurance, asset management, investments, and financial advice portfolios. At Sun Life, our asset management business draws on the talent and experience of professionals from around the globe. Sun Life Global Solutions (SLGS) With 32 years of operations in the Philippines and 17 years in India, Sun Life Global Solutions, (formerly Asia Service Centres), a microcosm of Sun Life, is poised to harness the regions’ potential in a significant way - from India and the Philippines to the world. We are architecting and executing a BOLDER vision: being a Digital and Innovation Hub, shaping the Business, driving Transformation and superior Client experience by providing expert Technology, Business and Knowledge Services and advanced Solutions. We help our clients achieve lifetime financial security and live healthier lives – our core purpose and mission. Drawing on our collaborative and inclusive culture, we are reckoned as a ‘Great Place to Work’, ‘Top 100 Best Places to Work for Women’ and stand among the ‘Top 11 Global Business Services Companies’ across India and the Philippines. The technology function at Sun Life Global Solutions is geared towards growing our existing business, deepening our client understanding, managing new age technology systems, and demonstrating thought leadership. We are committed to building greater domain expertise and engineering ability, delivering end to end solutions for our clients, and taking a lead in intelligent automation. Tech services at Sun Life Global Solutions have evolved in areas such as application development and management, Support, Testing, Digital, Data Engineering and Analytics, Infrastructure Services and Project Management. We are constantly expanding our strength in Information technology and are looking for fresh talents who can bring ideas and values aligning with our Digital strategy. Our Client Impact strategy is motivated by the need to create an inclusive culture, empowered by highly engaged people. We are entering a new world that focuses on doing purpose driven work. The kind that fills your day with excitement and determination, because when you love what you do, it never feels like work. We want to create an environment where you feel empowered to act and are surrounded by people who challenge you, support you and inspire you to become the best version of yourself. As an employer, we not only want to attract top talent, but we want you to have the best Sun Life Experience. We strive to Shine Together, Make Life Brighter & Shape the Future! What will you do? Data is a strategic asset for Sun Life, and Data Management Platform ensures that every piece of data is well-documented, easily discoverable, and adheres to the data quality standards. Further, it enables modernizing data through consolidation, trusted views, advance matching algorithm, event-driven, and API capabilities. At Sun Life, we aim to enable our business partners and IT colleagues to deliver innovative client services that are BOLDER and future leaning. As the Data Management Platform (DMP) Technical Lead, you will be responsible for embedding a world class product development and engineering culture and organization. You will work with development, architecture and operations as well as platform teams to ensure we are delivering a best-in-class technology solution. You will work closely together with the Business Platform Owner to ensure an integrated end-to-end view across people and technology for the Business Platform. You will also “defend the faith” and work with stakeholders across the enterprise to ensure we are developing the right solutions. In parallel, you will focus on building a high-performing team that will thrive in a fast-paced continuous delivery engineering environment The role involves architecting, designing, and delivering solutions in tool stack including Informatica MDM SaaS, Informatica Data Quality, Collibra Data Governance, and other data tools. Key responsibilities: Shape technical strategy (e.g., build vs. buy decisions, technical road-mapping) in collaboration with architects Evaluate and identify appropriate technology stacks, platforms and vendors, including web application frameworks and cloud providers for solution development Attend team ceremonies as required; in particular, feature refinement and cross-team iteration reviews/demos Drive the resolution of technical impediments Own the 'success' of foundational enablers Champion for Research and Innovation Lead in scaled agile ceremonies and activities, like quarterly reviews, quarterly increment planning and OKR writing Collaborate with the Platform Owner in the writing and prioritization of technical capabilities and enablers Present platform delivery metrics, OKR health and platform finance status to Executive audiences Collaborate with other Technical Leads Create and maintain the technical roadmap for in-scope products and services at the platform/portfolio level Key experience: B.E. / B.Tech or equivalent Engineering professional Master’s degree or equivalent experience in Marketing, Business or finance is an added advantage 10+ yrs. of experience in technical architecture, solution design, and platform engineering Strong experience in MDM, Data Quality and Data Governance practices including tool stack such as Informatica MDM SaaS, Informatica Data Quality, and Collibra is a plus Good experience with major cloud platforms and data tools in cloud including but not limited to AWS, Microsoft Azure, Kafka, CDC, Tableau, and Data virtualization tools Good experience in ETL and BI solution development and tool stack – Informatica ETL experience is a plus Good experience in Data Architecture, SQL, NoSQL, REST API, data security, and AI concepts Familiarity with agile methodologies and data factory operations processes including usage of tools like confluence, Jira and Miro Strong knowledge of industry standards and regulations: A data platform owner should have knowledge of industry standards and regulations related to data management, such as HIPAA, PCI-DSS, and GDPR. Proven knowledge of working in financial services, preferably, insurance space Experience in senior engineering and technology roles working with teams to build/deliver digital products Experience in providing guidance and insight to establish governance processes, direction, and control, to ensure objectives are achieved and risks are managed appropriately for product development A leader who has a track record of onboarding, and developing engineering and product teams Experience as a technology leader who has defined and implemented technical strategies within complex organizations and is able to Influence and contribute to the higher-level engineering strategy Has insight into the newest technologies and trends and is an expert in product development with experience in code delivery and management of full stack technology Experience in digital capabilities such as DevSecOps, CI/CD, and agile release management A wide experience and understanding of architecture in terms of solution, data, and integration Can provide direct day-to-day engineering and technology problem-solving, coaching, direction, and guidance to Technical Leads and Senior Technical Leads within their Platform Strong leadership skills with an ability to influence a diverse group of stakeholders Ability to influence technical strategy at the BG and Enterprise level Experience working in Agile teams with a strong understanding of agile ways of working Experience managing technical priorities within an evolving product backlog Understands how to decompose large technical initiatives into actionable technical enablers Experience in the continuous improvement of software development workflows and pipelines Proven leadership; ability to articulate ideas to both technical and non-technical audiences Ability to communicate strategy and objectives, and align organizations to a common goal Strong problem solver with ability to lead the team to push the solution Ability to empower teams and encourage collaboration Ability to inspire people and teams, building momentum around a vision Critical thinker and passion to challenge status quo to find new solutions and drive out of the box ideas Believes in a non-hierarchical culture of collaboration, transparency and trust across the team Experimental mindset to drive innovation and continuous improvement of team Job Category: Scrum/Coach Posting End Date: 29/06/2025 Show more Show less

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

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

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