866 Collibra Jobs - Page 5

We are hiring for Data Steward Lead! About the client A boutique AI and data engineering firm, founded in 2018 and headquartered in Gurgaon, India, that empowers Fortune 1000 companies through AI-powered decision intelligence—especially in finance and supply chain transformation—delivering over US $2 billion in financial benefits while fostering a highly developed people-first culture Key Responsibilities: As the Marketing Data Steward Lead , you will be part of the Chief Data Office, directly supporting the Global Director of Enterprise & AI Stewardship and Delivery – Engage-to-Consume. This pivotal role partners with global, regional, and business leaders to analyze, document, optimize, and orchestrate enterprise data for marketing and consumer engagement, enabling analytics and AI initiatives. Leadership & Execution of Stewardship Initiatives: Support execution of an integrated Data & AI stewardship strategy for Marketing and Consumer Engagement. Align stewardship with business priorities; guide leaders on opportunities for data-enabled process improvement. Develop templates and frameworks for capturing complex data design and business process metadata. Build a backlog of data improvements and quick wins for governance councils. Data Governance, Quality & Metadata Management: Map critical data elements against marketing processes. Collaborate on logical data models supporting marketing and enterprise-wide capabilities. Embed data governance and stewardship into marketing processes. Ensure metadata is captured, curated, and maintained (F.A.I.R. – Findable, Accessible, Interoperable, Reusable). Enablement of AI/Analytics: Analyze, document, and orchestrate fit-for-purpose data for marketing innovation. Work with data architects, engineers, scientists, and AI teams to prepare data for analytics. Collaborate with analytics teams to improve and publish KPI metrics on adoption. Cross-functional & Regional Collaboration: Orchestrate support for data issues across markets. Manage relationships with business and technology stakeholders. Communicate progress, challenges, and opportunities. Continuous Improvement & Innovation: Stay updated on trends, technologies, and best practices. Adapt stewardship processes to evolving needs. Support change management, training, and data literacy efforts. People Management: Guide and manage Regional Data Stewards to coordinate data stewardship at regional and market levels. Marketing & Consumer Engagement Scope Lead performance-driving, consumer-led brand building with the right message at the right time, optimized by data and technology. Process areas: Inform with Insights, Plan Engagement Ecosystem, Develop Experiences, Engage Consumers, Convert Across Connected Commerce. Key data objects: Customer, Digital Assets, MRM, Sales, Insights. Platforms: Salesforce, DAM, CDP. Skills & Experience Required: Minimum Qualifications: Bachelor’s degree in Computer Science, Business Analytics, or related field (MBA/Master’s preferred). 5+ years in large-scale data management and business transformation. Preferred Qualifications: Expertise in marketing/consumer engagement data domains (e.g., Customer, Digital Assets, Sales). 7+ years of experience in data analysis, architecture, management, quality, AI, or related disciplines. Experience capturing business processes and data requirements. Proven ability to manage diverse technical and non-technical teams in data projects. Familiarity with data modeling (conceptual, logical, physical) and data governance tools (e.g., Collibra, Informatica, SAP, Microsoft Purview). Experience with Master Data Management (e.g., SAP MDG). Experience in the Consumer Products & Goods industry (preferred but not required). Strong communication and stakeholder management skills. Desired Traits Self-starter with business acumen and understanding of organizational challenges. Ability to communicate technical solutions to business stakeholders. Entrepreneurial, collaborative, and adaptable. Skilled at understanding cultural and emotional blockers to change. Professional presence with experience presenting data strategies to senior leaders. Strong analytical skills with attention to detail. Interested candidates can apply by sharing their resume at careers@invokhr.com or apply via LinkedIn job post.

About Ryewalk At Ryewalk, we go beyond solving problems - we engineer smart, scalable solutions that drive business success. Salesforce Experts – We don’t just implement CRM solutions; we tailor Salesforce to fit your business, ensuring seamless adoption and maximum impact. Cloud Strategists – We design and build cloud architectures in AWS that are robust, scalable, and ready for the future. Tech Trailblazers – When technology challenges stall progress, we step in, streamline, and deliver. No jargon, no fluff—just outcomes that matter. If it’s a complex tech challenge, we’re the team that makes it work. About the Role We are looking for a Data Engineer to execute a comprehensive data engineering transformation for our lending industry client. This is a unique opportunity to architect, build, and implement a complete data ecosystem, encompassing data architecture, ETL pipelines, governance frameworks, and quality assurance systems. You’ll collaborate closely with cross-functional teams to transform raw data into actionable intelligence, leveraging cloud platforms and big data technologies. If you're passionate about solving complex problems with data and driving innovation, we’d love to hear from you! 🚀 Key Responsibilities Data Architecture & Design Design and implement scalable, cloud-native data architecture for lending operations Establish data modeling standards and best practices for transactional, analytical, and regulatory data Create comprehensive data flow diagrams and technical documentation Design data lake/lakehouse architecture optimized for lending use cases (loan origination, underwriting, servicing, collections) ETL Pipeline Development Build robust, fault-tolerant ETL/ELT pipelines for real-time and batch processing Implement data ingestion from multiple sources (core banking systems, credit bureaus, third-party APIs, flat files) Develop data transformation logic for loan lifecycle management and regulatory reporting Establish monitoring, alerting, and recovery mechanisms for pipeline reliability Data Governance & Compliance Implement comprehensive data governance framework aligned with lending regulations (GDPR, CCPA, fair lending practices) Establish data lineage tracking and impact analysis capabilities Design and implement data retention and archival policies Create data classification and access control frameworks Data Quality Management Develop automated data quality monitoring and validation frameworks Implement data profiling, anomaly detection, and quality scoring systems Create data quality dashboards and reporting mechanisms Establish data quality SLAs and remediation processes Platform & Infrastructure Deploy and configure modern data platforms (cloud data warehouses, streaming platforms, workflow orchestration) Implement Infrastructure as Code (IaC) for reproducible environments Establish CI/CD pipelines for data engineering workflows Optimize performance and cost management across data infrastructure What We’re Looking For 2–4+ years of experience in data engineering or a related role. Strong proficiency in SQL and experience with relational and cloud-native databases (e.g., PostgreSQL, Redshift, Snowflake, BigQuery). Hands-on experience with data pipeline tools/frameworks (e.g., Airflow, dbt, Spark, Kafka, Glue, Fivetran). Solid experience in a cloud environment (AWS, Azure, or GCP), including storage, compute, and orchestration services. Knowledge of data governance, lineage, cataloging, and quality frameworks (e.g., Collibra, Alation, Great Expectations). Strong coding skills in Python or Scala for data transformations and automation. Familiarity with CI/CD, infrastructure-as-code (Terraform, CloudFormation), and DevOps practices. Excellent problem-solving skills and ability to work in a fast-paced, transformation-focused environment. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. What Makes You a Great Fit ⭐ Problem-Solver Mindset - You enjoy tackling challenges and finding innovative solutions ⭐ Excellent Troubleshooting Abilities - You can quickly diagnose and resolve technical issues under pressure ⭐ Curiosity & Continuous Learning - You stay updated with the latest Data Engineering trends and technologies ⭐ Ownership & Accountability - You take responsibility and drive projects to completion ⭐ Collaboration & Communication - You work well across teams and can explain technical concepts clearly ⭐ Adaptability - You thrive in a dynamic environment and embrace change ⭐ Proactive Approach - You anticipate challenges, take initiative, and suggest improvements before issues arise Why Ryewalk? 🚀 Impact from Day One - As a startup, we move fast, make bold decisions, and your work truly matters. No red tape - just pure problem-solving and execution. Wear Multiple Hats (If You Want To!) - Love coding but also want to dabble in architecture? Curious about Consulting? At Ryewalk, you’ll have the freedom to explore beyond your job title. Work With the Best - Join a team of smart, passionate, and hands-on tech pros who thrive on collaboration, innovation, and challenging the status quo. Grow at Startup Speed - Unlike rigid corporate hierarchies, here you get to learn, lead, and level up - fast. Hybrid-Friendly & Flexible - We trust you to deliver without micromanagement. (Yes, really!) Solve Real Problems - We work with clients who come to us with big, complex tech challenges - and we love cracking them. If you enjoy making a real impact, you’ll fit right in. Culture That Feels Like Home - Expect collaborative brainstorming, inside jokes, and an environment where everyone has a voice.

Role & responsibilities Please share your resume at poonampal@kpmg.com Summary: 6-8 years of relevant professional experience in Data Management solutioning with major experience in Metadata Management with focus on Data Dictionary and Technical Lineage (Manual & Automatic) ; along with strong programming experience in either Java/Python Location: Bengaluru Status: Regular, Full-Time, 100% JOB REQUIREMENTS & RESPONSIBILITIES: i. Responsibilities: Development and implementation of Collibra/Informatica/Solidatus/Purview /other leading Metadata Management Platform Development and implementation of Automation use-cases using Java/Python programming Meet with business stakeholders to gather information and analyze existing processes, determine and document gaps and areas for improvement, prepare requirement documents/data flow mappings/metamodels, etc. in the area of Metadata Management ii. Education or Certifications: Bachelor's / Master's degree in engineering/technology/other related degrees. Relevant certifications from Collibra/Informatica/Talend/SAS and/or other leading platforms is a must Relevant certifications from DAMA, EDM Council and CMMI-DMM will be a bonus iii. Work Experience: 6-8 years of relevant experience in relevant Collibra/Informatica/Solidatus/Purview or/and other leading Metadata Management platforms Strong hands-on experience in capturing and maintaining Data Dictionary, Business Glossary and Lineage Models Experience in automatic technical lineage ingestion and implementation using Metadata Connectors/APIs is a must Demonstratable experience in developing Automation Use-Cases in Java/Python programming is expected Experience in developing custom connectors is a big plus Client-facing Big4 Consulting experience will be considered a plus Please share your resume at poonampal@kpmg.com

About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Position Summary: Data Quality Engineering Support: (Manager, Data Operations & Management) As the Data Quality Engineering Support Manager, you will be responsible for implementing, scaling, and supporting enterprise-wide data quality frameworks across cloud-native data platforms. You will drive hands-on initiatives to monitor, validate, and reconcile data across ingestion, processing, and consumption layers enabling trusted data for analytics, AI/ML, and operational workflows. This role requires a blend of technical depth, platform expertise (e.g., BigQuery, Redshift, GCP, AWS), and collaboration across engineering, governance, and product teams. Who we are looking for: Primary Responsibilities: Data Quality Engineering & Monitoring: Implement and support automated data quality checks for accuracy, completeness, timeliness, and consistency across datasets. Develop validation frameworks for ingestion pipelines, curated layers, and reporting models in platforms like BigQuery and Redshift. Integrate data quality controls into CI/CD pipelines and orchestration tools (e.g., Airflow, Cloud Composer). Data Quality Operations: Respond to and resolve data quality incidents and discrepancies across data domains and systems. Collaborate with engineering and product teams to implement root cause analysis and build long-term remediation strategies. Establish SLAs and alerting thresholds for data quality KPIs. Cloud Platform Integration Deploy scalable data quality monitoring solutions across GCP (BigQuery, Cloud Storage) and AWS (Redshift, S3, Glue). Leverage platform-native services and third-party tools for automated profiling, rule enforcement, and anomaly detection. Governance Alignment: Partner with data governance teams to align quality rules with business glossary terms, reference data, and stewardship models. Integrate quality metadata into governance tools such as Collibra, enabling lineage and audit tracking. Documentation, Enablement & Collaboration Maintain playbooks, documentation, and automated reporting for quality audits and exception handling. Collaborate with data owners, analysts, and data product teams to promote a culture of data trust and shared ownership. Provide training and knowledge-sharing to enable self-service quality monitoring and issue triaging. Skill: 5+ years of experience in data quality engineering, data operations, or data pipeline support, ideally in a cloud-first environment. Hands-on expertise in: Building and managing data quality checks (e.g., null checks, duplicates, data drift, schema mismatches) SQL and Python for quality validation and automation Working with cloud-native data stacks: BigQuery, Redshift, GCS, S3 Data quality monitoring tools or frameworks (e.g., Dataplex, Lightup, Collibra) Strong troubleshooting skills across distributed data systems and pipelines. Bachelor’s degree in Computer Science, Information Systems, or related field. Preferred Experience: Experience in Retail or Quick Service Restaurant (QSR) environments with high-volume data ingestion and reporting requirements. Familiarity with data governance platforms (e.g., Collibra) and integration of quality rules into metadata models. Exposure to AI/ML data pipelines and the impact of data quality on model performance. Current GCP Associates (or Professional) Certification. Work location: Hyderabad, India Work pattern: Full time role. Work mode: Hybrid. Additional Information: McDonald’s is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs. McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. McDonald’s Capability Center India Private Limited (“McDonald’s in India”) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald’s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald’s in India does not discriminate based on race, religion, colour, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws. Nothing in this job posting or description should be construed as an offer or guarantee of employment.

About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Position Summary: Data Quality - Supervisor As the Data Quality Lead, you will define and drive the enterprise-wide strategy for data quality management—ensuring that data is accurate, consistent, and trustworthy across the analytics and AI/ML ecosystem. This role combines strategic leadership with technical execution, overseeing quality frameworks, tooling, and cross-functional processes that ensure data integrity across cloud-native platforms such as GCP, AWS, BigQuery, and Redshift. You will collaborate closely with data governance, engineering, and business teams to embed data quality into the core of operational and analytical systems. Who we are looking for: Primary Responsibilities: Data Quality Strategy & Leadership: Define and lead the implementation of enterprise data quality frameworks, standards, and operating models. Establish and track data quality KPIs, thresholds, and remediation SLAs across domains and business functions. Champion a data quality mindset across the organization by partnering with data owners, stewards, and executives. Cloud Platform & Data Ecosystem Integration: Design and oversee quality frameworks across GCP (BigQuery, GCS), AWS (Redshift, S3), and hybrid environments. Integrate data quality validation and monitoring into data ingestion, transformation, and AI / ML pipelines. Oversee automation and observability for data quality using tools like Airflow, Cloud Composer, and CI/CD pipelines. Tooling & Automation: Lead the evaluation, implementation, and expansion of data quality tools (e.g., Dataplex, Lightup, Collibra, or custom frameworks). Integrate data quality metrics and rules with Collibra or similar governance platforms for lineage, stewardship, and policy enforcement. Ensure quality rules are version-controlled, modular, and adaptable for new data domains. Operations & Incident Management: Oversee enterprise processes for data anomaly detection, triage, root cause analysis, and resolution. Coordinate quality audits, incident reviews, and continuous improvement programs with data engineering and analytics teams. Ensure compliance with internal standards and external regulations (e.g., GDPR, CCPA, HIPAA). Team Leadership & Collaboration: Lead a team of data quality engineers and analysts to implement and scale quality controls. Collaborate with data governance, data engineering, AI/ML, and domain owners to embed quality into product and platform development. Present strategic insights, trends, and risks to senior leadership and data councils. Skill: 4-7 years of experience in data quality, data governance, or data operations, with at least 3 years in a leadership role. Proven experience with: Data quality tooling and validation frameworks Cloud-native environments: GCP (BigQuery, GCS) and AWS (Redshift, S3) Scripting in SQL and Python for custom checks, validation jobs, and automation Data quality integration with governance platforms such as Collibra Strong analytical and problem-solving skills, particularly in diagnosing and preventing data integrity issues. Bachelor's or Master’s degree in Computer Science, Data Science, Information Systems, or a related field. Preferred Experience: Experience in Retail or Quick Service Restaurant (QSR) environments where trusted data is critical for real-time decisions. Familiarity with AI/ML pipelines and how upstream data quality affects model performance. Understanding of data mesh, domain-based ownership, and federated data quality models. Current GCP Associates (or Professional) Certification. Work location: Hyderabad, India Work pattern: Full time role. Work mode: Hybrid. Additional Information: McDonald’s is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs. McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. McDonald’s Capability Center India Private Limited (“McDonald’s in India”) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald’s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald’s in India does not discriminate based on race, religion, colour, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws. Nothing in this job posting or description should be construed as an offer or guarantee of employment.

Data Governance Collibra/Alation/Informatica/Purview(Any 3) Strong understanding of DG frameworks such as DCAM, DAMA DMBOK Certifications in DG (e.g CDMP, DCAM, collibra ranger, IDGC) Hands-on Implementation experience using tools like Collibra, Alation, Informatica, Purview etc. Experience with ERP systems. Strong knowledge of data quality management processes and concepts including matching, merging, creation of golden records for master data Required : COLLIBRA, Data Governance, ERP To Have : Certifications in DG (e.g CDMP, DCAM, collibra ranger, IDGC) Client is looking for immediate or serving NP Must Have Must have experience in either Collibra or Alation or Informatica/Purview. Strong understanding of DG frameworks such as DCAM or DAMA or DMBOK. Strong knowledge of data quality management processes and concepts including matching, merging, creation of golden records for master data entities. (ref:hirist.tech)

Ready to build the future with AI? At Genpact, we don’t just keep up with technology—we set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory , our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook . Inviting applications for the role of Assistant Vice President, Solution Architect! We are seeking a highly skilled and experienced Solution Architect specializing in Data Governance to join our dynamic team. The ideal candidate will play a pivotal role in designing, developing, and implementing the technical architecture and infrastructure necessary to support the organization’s data governance framework. This role requires a deep understanding of data architecture, data management, and data governance best practices and involves working closely with IT, data management teams, and business units to ensure that data governance tools and solutions are effectively integrated and maintained. Responsibilities: 1. Technical Architecture Design: Design and develop the technical architecture for data governance solutions, including data quality, metadata management, data lineage, and data cataloging Ensure that data governance solutions align with the overall enterprise architecture and IT strategy. 2. Tool Selection and Implementation: Evaluate and recommend data governance tools and technologies (e.g., Collibra, Informatica, Alation, Atlan). Lead the implementation, configuration, and deployment of selected data governance tools. 3. Integration and Interoperability: Ensure that data governance solutions are integrated with existing data management systems, data warehouses, and other IT infrastructure. Work with IT teams to develop integration strategies and ensure interoperability of data governance tools. 4. Technical Standards and Best Practices: Establish and enforce technical standards and best practices for data governance. Ensure that technical solutions comply with industry standards and regulatory requirements. 5. Technical Troubleshooting and Support: Provide technical support and troubleshooting for data governance tools and systems. Address and resolve technical issues in a timely manner. 6. Security and Compliance: Implement technical controls to ensure data privacy and security. Ensure that data governance solutions comply with relevant data protection regulations (e.g., GDPR, CCPA). 7. Performance Monitoring and Optimization: Monitor the performance of data governance tools and infrastructure. Optimize system performance and ensure high availability and reliability of data governance solutions. 8. Experience in GenAI project Qualifications we seek in you! Minimum Qualifications Education: Bachelor's or Master’s degree in Computer Science, Information Management, or a related field. Experience: Relevant experience with minimum experience in data governance, data management, or a related role. Proven experience in designing and implementing at least 2 data governance solutions including data privacy solutions. Strong hands-on experience with data governance tools (e.g., Collibra, Informatica EDC/Axon/CDGC, Alation, Atlan, etc.) is required. Good to have experience with data privacy tools (e.g., Big ID, OneTrust, etc.) Skills: Strong understanding of data governance principles and best practices. Excellent knowledge of data privacy regulations and compliance requirements. Strong understanding of data management, data quality, metadata management, data lineage, and data integration techniques Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data lakes Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Ability to work collaboratively with cross-functional teams. Proactive and self-motivated with the ability to drive initiatives independently. Certifications: Relevant technical certifications from Collibra, Informatica, Alation, Atlan, etc. Relevant certifications in data governance, data management, or cloud technologies are a plus (e.g., DCAM, CDMP, AWS/Azure Certified Solutions Architect). Why join Genpact? Lead AI-first transformation – Build and scale AI solutions that redefine industries Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career —Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together.

Job Summary: We are seeking a Data Steward to support enterprise data initiatives by ensuring the accuracy, completeness, and quality of data pipelines across data platforms. The ideal candidate will bring strong expertise in data quality practices, and data management principles to help establish trusted data foundations that drive business intelligence, analytics, and operational reporting. This role will be a critical part of our data team, to support data governance efforts, and enhance our data architecture. Key Responsibilities: Serve as business and technical steward for assigned data domains. Create & Maintain metadata, business glossary, and data catalog entries in DG Tools like Collibra, Altion, Informatica or similar. Work with data owners to enforce data definitions, classifications, and data quality rules. Perform data profiling, issue identification, and remediation coordination. Support the onboarding of new data assets (cataloging, lineage, and stewardship assignments). Assist in governance tool configuration, workflow management, and integration automation. Collaborate with engineering teams to support PII tagging, data masking, and access governance. Provide training and support to business users in using governance tools effectively. Deploy the master data governance framework and use the supporting data management tools. Define data quality metrics and monitor data quality performance against established targets. Conduct regular data governance reviews and provide recommendations for process improvements. Ensure data accuracy, consistency, and integrity Implement and monitor data quality rules, validation checks, and exception handling. Collaborate with teams to align data delivery with business and reporting requirements. Document data processes, standards, and lineage to support governance and compliance. Qualifications: 5+ years of experience in Data Governance, Operations of Data Governance Hands-on experience with Collibra (catalog, lineage, workflows, API integrations) . Experience with data management tools (e.g., data catalogs, MDM systems, data quality platforms). Strong understanding of data quality, metadata management, and data classification practices . Technical skills in SQL, Python/Java, REST APIs for tool integration and automation. Familiarity with Google cloud platform (GCP) will be a plus Excellent communication and ability to liaise between business users and technical teams .

Data Governance Collibra/Alation/Informatica/Purview (Any 3) Strong understanding of DG frameworks such as DCAM, DAMA DMBOK Certifications in DG (e.g CDMP, DCAM, collibra ranger, IDGC) Hands-on Implementation experience using tools like Collibra, Alation, Informatica, Purview etc. Experience with ERP systems. Strong knowledge of data quality management processes and concepts including matching, merging, creation of golden records for master data entities.

Job Title: Data Steward Location: Pune/Hyderabad Job Type: Fulltime Years of Experience – 5-7 years Job Summary: We are seeking a Data Steward to support enterprise data initiatives by ensuring the accuracy, completeness, and quality of data pipelines across data platforms. The ideal candidate will bring strong expertise in data quality practices, and data management principles to help establish trusted data foundations that drive business intelligence, analytics, and operational reporting. This role will be a critical part of our data team, to support data governance efforts, and enhance our data architecture. Key Responsibilities: Serve as business and technical steward for assigned data domains. Create & Maintain metadata, business glossary, and data catalog entries in DG Tools like Collibra, Altion, Informatica or similar. Work with data owners to enforce data definitions, classifications, and data quality rules. Perform data profiling, issue identification, and remediation coordination. Support the onboarding of new data assets (cataloging, lineage, and stewardship assignments). Assist in governance tool configuration, workflow management, and integration automation. Collaborate with engineering teams to support PII tagging, data masking, and access governance. Provide training and support to business users in using governance tools effectively. Deploy the master data governance framework and use the supporting data management tools. Define data quality metrics and monitor data quality performance against established targets. Conduct regular data governance reviews and provide recommendations for process improvements. Ensure data accuracy, consistency, and integrity Implement and monitor data quality rules, validation checks, and exception handling. Collaborate with teams to align data delivery with business and reporting requirements. Document data processes, standards, and lineage to support governance and compliance. Qualifications: 5+ years of experience in Data Governance, Operations of Data Governance Hands-on experience with Collibra (catalog, lineage, workflows, API integrations) . Experience with data management tools (e.g., data catalogs, MDM systems, data quality platforms). Strong understanding of data quality, metadata management, and data classification practices . Technical skills in SQL, Python/Java, REST APIs for tool integration and automation. Familiarity with Google cloud platform (GCP) will be a plus Excellent communication and ability to liaise between business users and technical teams .

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. You Lead the Way. We’ve Got Your Back. With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally. At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. Join Team Amex’s Global Loyalty and Benefits organization and let's lead the way together. About the job: The position of Senior Data Engineer will be a part of a dynamic and growing team within the GRCT organization at American Express. Key Responsibilities: Mentors junior Data Engineers and multi-functional team of colleagues, fostering a culture of excellence and innovation Leads and collaborates within Agile teams, support business and product changes, and prioritize features for ongoing sprints Stays abreast of new database management system features and functions and drive adoption across Amex to use product capabilities Provides guidance and support to junior engineers, fostering professional growth and development within the team Converts logical data architectures into physical designs and spends significant time on database development and testing Provides administration services for databases, data warehouses, and datamarts, and continuously improves database design and performance Identifies and fixes database performance issues, ensuring optimal replication, high availability, and effective backup and recovery processes Develops and implements standard practices for data management, security, and processes, and contribute to tool and method decisions Enhances Big Data management strategies by designing and implementing advanced partitioning and indexing solutions Collaborates and co-creates effectively with teams in product and the business to align technology initiatives with business objectives 10+ years of experience in data engineering, with a solid focus on GCP. Proficiency in GCP services such as Big Query, Dataflow, Cloud Storage, Cloud Composer (Airflow), and Pub/Sub. Solid understanding of data warehousing concepts and ETL/ELT processes. Experience with data modeling, including dimensional, normalized, and canonical models. Proficiency in SQL and at least one programming language (Python or Scala). Experience with data governance, metadata management, and data quality. Experience with CI/CD practices and DevOps principles. Superb communication, collaboration, and mentoring skills. Experience with Apache Beam, Spark, or Kafka preferred. Experience with Collibra or other data governance tools preferred. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Job Description: ETL Modernization Engineer (OSP Partner) This role is for an OSP provider resource to migrate legacy ETL pipelines (Informatica/Talend) to a modern data stack on Snowflake, dbt, and Fivetran, with strong DataOps, governance, and cost-aware design. Target experience: 7 to 8 years. Role Summary Lead end to end migration of legacy ETL workloads to Snowflake dbt Fivetran, including discovery, design, refactoring, validation, and cutover. Establish reusable patterns for ingestion, transformation, orchestration, testing, observability, and cost optimization. Collaborate with Enterprise Data Architecture, Security, and BI teams to ensure compliant, high-performance delivery. Key Responsibilities Assess current-state: inventory Informatica/Talend jobs, mappings, schedules, dependencies, SLAs, and data contracts. Design target-state: ingestion via Fivetran/ELT, dbt-based transformations, Snowflake schemas (raw/bronze, curated/silver, semantic/gold), and orchestration approach. Migrate and refactor: Convert mappings/workflows to dbt models, macros, seeds, and exposures. Replace hand-coded ingestions with managed connectors (Fivetran) or alternative ELT where required. Implement CDC patterns (e.g., Fivetran + dbt snapshots), SCD handling, and incremental strategies. Data quality and testing: implement dbt tests (schema, referential, accepted values, freshness), anomaly checks, and reconciliation with legacy outputs. Performance engineering: optimize Snowflake warehouses, clustering/partitioning strategies, query tuning, caching/materialization patterns, and costs. Security and governance: apply RBAC roles, masking, row access policies; integrate with lineage/catalog (e.g., OpenLineage/Marquez, Collibra/Atlan/Alation if applicable). Observability and reliability: configure logging/metrics, job run health, SLAs/SLOs, alerting, and incident runbooks. Cutover planning: parallel runs, backfills, data reconciliation, defect triage, rollout, and decommissioning legacy jobs. Documentation and knowledge transfer: architecture diagrams, runbooks, playbooks, and training for client teams. Required Skills and Experience 7 to 8 years in data engineering/ETL modernization with demonstrable migration projects from Informatica or Talend to ELT on cloud data warehouses. Hands on with Snowflake (warehouses, tasks, streams, time travel, Query Profile), performance tuning, security policies, and cost governance. Strong dbt expertise: model design, Jinja/macros, packages, exposures, snapshots, environment promotion, and CI/CD with Git. Practical Fivetran experience: connector configuration, sync scheduling, historical backfills, log based CDC, schema drift handling. Proficient SQL (advanced), with Python preferred for utilities e.g., migration scripts, validation Experience building star/snowflake schemas, dimensional modeling, and semantic layers for BI tools Power BI/Looker/Tableau DataOps and CI/CD: branching strategies, automated tests, deployment pipelines, environment management. Data quality frameworks and reconciliation techniques for migration sign off. Strong stakeholder management: work with architects, security, BI, and business SMEs in phased migration programs. Deliverables Current state inventory and dependency map of legacy pipelines. Target state architecture and migration plan, including cutover strategy. Re platformed pipelines: Fivetran connectors, dbt project(s), Snowflake schemas, roles, and policies. About Virtusa Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us. Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence. Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

As an employee at Thomson Reuters, you will play a role in shaping and leading the global knowledge economy. Our technology drives global markets and helps professionals around the world make decisions that matter. Whether solving for today’s challenges or tomorrow’s aspirations, you will work with the industry’s brightest thinkers on diverse projects, creating next-generation solutions that deliver powerful results. As the world’s leading provider of intelligent information, we want your unique perspective to create the solutions that advance our business—and your career. Our technology drives global markets and helps professionals worldwide make decisions that matter. As an employee at Thomson Reuters, you will play a role in shaping and leading the global knowledge economy. Whether solving for today's challenges or tomorrow's aspirations, you will work with the industry's brightest thinkers on diverse projects, creating next-generation solutions that deliver powerful results. As the world's leading provider of intelligent information, we want your unique perspective to create the solutions that advance our business—and your career. About the Role: As an Lead Business Analyst, Data Control you will: Acts as a liaison for internal to Thomson Reuters groups including and not limited to Data and Analytics, Responsible Data and AI and Business and Compliance Groups. Collects and synthesizes data to document requirements, translates into detailed governance solutions enabling Trusted and Responsible Data and AI practices. May work as the non-technical expert for one or more large, complex projects translating requirements into governance documentation, monitoring of the requirements, proof of concept completions and successful adoptions. Responsible for review of products, tools and platforms, regulations and/or laws and associated compliance Depending on the nature of the project, undertakes a combination of project management, technical/non-technical implementation, and analyst tasks. Provides guidance and facilitation to less experienced staff or may provide technical/non-technical domain expertise to groups especially on strategic priorities. Recommends and validates technical/non-technical solutions to meet governance and compliance requirements based on understanding of how solutions will impact the business and stakeholders as required. Implementation of Risk and Control framework, monitoring inherent and residual risks changes, control implementations and documentations for Product/Project/Initiative/Mergers and acquisition engagements. Monitor, manage, measure success of policy and data standards enforcement throughout data/product/AI lifecycle to ensure compliance with legal and multi-jurisdictional requirements. Develop and maintain dashboards, reports, and data visualizations to track key performance indicators (KPIs/OKR). Develops extensive understanding of multiple Thomson Reuters technologies, products, and services. Provides strong leadership in many areas including defining/improving standards, mentoring less experienced colleagues, and implementation / project management of critical projects. Exercises independent judgment in methods, techniques and evaluation criteria for obtaining results. About You: You're a fit for the role of Lead Business Analyst, Data Control, if you have: Qualifications: Bachelor’s degree in business, Computer Science, or a related field; Master’s degree preferred. 10+years of proven experience as a Lead Data Business Analyst or in a similar role, with leadership experience. Ability to translate business issues, requirements into actionable plans, make timely and effective accurate/complete decisions for positive impact Ability to work independently and manage multiple projects simultaneously with high degree of accuracy, completeness and timeliness. Proficiency in data analysis tools such as SQL, Python, R, and BI tools (e.g., Tableau, Power BI). Experience with data and governance frameworks and analytics tools (e.g., Collibra, Alation, Atlan, Immuta, OneTrust). Knowledge of Control/governance and Responsible Data and AI data best practices. Strong knowledge of multi-jurisdictional requirements. Comfortable leading meetings and possess strong influencing and networking skills Excellent communication, interpersonal, and presentation skills. Experience in designing and managing KPIs, and OKRs for data control/ governance. Certification in data management or governance (e.g., DCAM, CDMP, CIPP) is a plus This role is critical in driving data-driven decision-making and supporting the organization’s strategic objectives. If you are passionate about data governance and controls and have a proven track record in leading data initiatives at enterprise wide, we encourage you to apply. What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

Position Overview Employer: DWS Group Job Title: Director – Principal Engineering Lead Location: Pune, India / Bangalore, India About DWS: Today, markets face a whole new set of pressures – but also a whole lot of opportunity too. Opportunity to innovate differently. Opportunity to invest responsibly. And opportunity to make change. Join us at DWS, and you can be part of an industry-leading firm with a global presence. You can lead ambitious opportunities and shape the future of investing. You can support our clients, local communities, and the environment. Read More About DWS And Who We Are Here. Team / division overview The Chief Operating Office (COO) , CTO DWS Tech Division is a key enabler for DWS and is integral to the future success of the company by delivering world-class services across a set of key functions. It covers essential Technology and Operations capabilities, and aims to deliver a platform which is efficient, scalable, resilient and agile. Role Summary: DWS is seeking a Director of Software Engineering to lead engineering initiatives in support of its core asset management platforms, REIT (real estate infrastructure funds), private equity, derivates, hedging, and illiquid/alternative funds. You will drive the modernization and automation of investment technology infrastructure, collaborating with business, operations, and data teams. This role requires deep understanding of portfolio management platforms, and advanced knowledge of cloud-native data engineering platforms like Snowflake and GCP. Your responsibilities: Key Responsibilities: Lead the engineering , design and delivery of digital platforms and is responsible for managing or performing work across multiple areas of the bank's overall IT Platform/Infrastructure including analysis, development, and administration. It may also involve taking functional oversight of engineering delivery for specific departments. Work includes: Define and lead the software engineering vision for investment technologies across illiquid fund platforms Collaborate closely with investment, operations, and data teams to build scalable, automated, and data-driven solutions. Lead vendor and platform integration strategies (e.g. Aladdin , YARDI, Pathfinder, Snowflake etc.) Architect and deliver scalable, secure, and performant solutions for investment workflows—portfolio construction, trade lifecycle, order management, and performance analytics. Implement APIs and event-driven architecture for near-real-time data exchange across platforms. Optimize and automate manual processes related to trade support, pricing, valuation, NAV processing, and reconciliation. Leverage Snowflake for building secure and governed data products consumed across analytics, operations, and reporting. Deep understanding of platforms related to illiquid, including experience with data ingestion, portfolio analytics, and integration patterns. Experience designing solutions around REITs, fund of funds, private credit, and liquid real assets. Enable data democratization by implementing policy-based access control and observability. Ensure software quality, regulatory compliance, and risk management are embedded throughout the development lifecycle. Manage external and internal audits, working closely with data governance, compliance, and cybersecurity teams. Planning and developing entire engineering solutions to accomplish business goals Building reliability and resiliency into solutions with appropriate testing and reviewing throughout the delivery lifecycle Ensuring maintainability and reusability of engineering solutions. Ensuring solutions are well architected and can be integrated successfully into the end-to-end business process flow. Reviewing engineering plans and quality to drive re-use and improve engineering capability Participating in industry forums to drive adoption of innovative technologies, tools, and solutions in the Bank. Architect, develop, and maintain UI components using React.js and JavaScript. Define and enforce best practices for UI development, coding standards and performance optimization. Collaborate with UI/UX designers, product managers and backend developers to deliver seamless responsive interfaces. Write clean, maintainable and well-documented code. Drive code reviews, unit testing and integration testing processes. Contribute to architecture and design decisions for scalable frontend systems and own performance, accessibility and cross browser compatibility. We are looking for: Must Have Technology Skills: 20+ years of hands-on technical and functional experience in financial industry within asset/investment management or capital markets. Strong understanding of financial instruments: alternatives, private equity, private credit, and structured products. Experience working with portfolio managers, risk, compliance, and operations teams. Familiarity with NAV, position and cash management, pricing, and reconciliation processes. Deep familiarity with Aladdin, YARDI, Pathfinder, Snowflake, SQL, and enterprise data management. App development with technologies such as: Java, Springboot, React JS, Kafka, Cloud, CI/CD, Dev Ops, Test Automation, Camunda, container based applications. Architected and delivered scalable, secure, and performant solutions for investment workflows—portfolio construction, trade lifecycle, order management, and performance analytics. APIs and event-driven architecture for near-real-time data exchange across platforms. Optimize and automate manual processes related to trade support, pricing, valuation, NAV processing, and reconciliation. Leverage Snowflake for building secure and governed data products consumed across analytics, operations, and reporting. Progressive engineering hands on development experience to lead engineering teams with enterprise scale applications Hands-on experience with cloud-native platforms (GCP), microservices, APIs, CI/CD pipelines, and IaC. Strong Agile skills with running Dev Ops, IT Risk and control, SRE scrum teams and squads. Skills that will help you shine: Team Management: Experience working in or integrating with other investment platforms like Charles River, SimCorp, or FactSet. Knowledge of data governance platforms (e.g., Collibra, Alation). Experience with people development with respect to training, upskilling, providing right opportunities within India and global squads. Promotes engineering culture and improves productivity amongst India FTE and vendor staff. Grooms and coaches the team providing proper career progression. Dynamic resource management and close collaboration with DWS global tech and product teams. Excellent skills and appetite to maintain risk & control hygiene. Streamline ITAO processes with automation. Will require broader promotion of people strategy activities within DWS Tech India. Recruits additional talent in a timely manner, grows the team in India with new skills such as Workfusion AI, Blockchain & Tokenization. Stakeholder/Business Management: Excellent stakeholder management and communication skills to work with India operations, EMEA/APAC business leaders. Knowledge in Banking Payment systems will be a huge plus. Educational & technical qualification requirements: Bachelor’s Degree from an accredited college or university with a concentration in Science or an IT-related discipline (or equivalent) More than 10 years’ experience (hands-on) development in full stack solutions What we’ll offer you: At DWS we’re serious about diversity, equity and creating an inclusive culture where colleagues can be themselves and it’s important to us that you enjoy coming to work - feeling healthy, happy and rewarded. At DWS you’ll have access to a range of benefits including, but not limited, to the below: A hybrid working model, allowing for in-office / work from home flexibility, comprehensive leave policy, personal and volunteer days Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above If you require any adjustments or changes to be made to the interview process for any reason including, or related to a disability or long-term health condition, then please contact your recruiter and let them know what assistance you may need. Examples of adjustments include providing a change to the format of the interview, or providing assistance when at the DWS office. This will not affect your application, and our recruitment team will discuss options with you Our values define the working environment we strive to create – diverse, supportive and welcoming of different views. We embrace a culture reflecting a variety of perspectives, insights and backgrounds to drive innovation. We build talented and diverse teams to drive business results and encourage our people to develop to their full potential. Talk to us about flexible work arrangements and other initiatives we offer. We promote good working relationships and encourage high standards of conduct and work performance. We welcome applications from talented people from all cultures, countries, races, genders, sexual orientations, disabilities, beliefs and generations and are committed to providing a working environment free from harassment, discrimination and retaliation. We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. You Lead the Way. We’ve Got Your Back. With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally. At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. Join Team Amex’s Global Loyalty and Benefits organization and let's lead the way together. About the job: The position of Senior Data Engineer will be a part of a dynamic and growing team within the GRCT organization at American Express. Key Responsibilities: Mentors junior Data Engineers and multi-functional team of colleagues, fostering a culture of excellence and innovation Leads and collaborates within Agile teams, support business and product changes, and prioritize features for ongoing sprints Stays abreast of new database management system features and functions and drive adoption across Amex to use product capabilities Provides guidance and support to junior engineers, fostering professional growth and development within the team Converts logical data architectures into physical designs and spends significant time on database development and testing Provides administration services for databases, data warehouses, and datamarts, and continuously improves database design and performance Identifies and fixes database performance issues, ensuring optimal replication, high availability, and effective backup and recovery processes Develops and implements standard practices for data management, security, and processes, and contribute to tool and method decisions Enhances Big Data management strategies by designing and implementing advanced partitioning and indexing solutions Collaborates and co-creates effectively with teams in product and the business to align technology initiatives with business objectives 10+ years of experience in data engineering, with a solid focus on GCP. Proficiency in GCP services such as Big Query, Dataflow, Cloud Storage, Cloud Composer (Airflow), and Pub/Sub. Solid understanding of data warehousing concepts and ETL/ELT processes. Experience with data modeling, including dimensional, normalized, and canonical models. Proficiency in SQL and at least one programming language (Python or Scala). Experience with data governance, metadata management, and data quality. Experience with CI/CD practices and DevOps principles. Superb communication, collaboration, and mentoring skills. Experience with Apache Beam, Spark, or Kafka preferred. Experience with Collibra or other data governance tools preferred. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. You Lead the Way. We’ve Got Your Back. With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally. At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. Join Team Amex’s Global Loyalty and Benefits organization and let's lead the way together. About the job: The position of Senior Data Engineer will be a part of a dynamic and growing team within the GRCT organization at American Express. Key Responsibilities: Mentors junior Data Engineers and multi-functional team of colleagues, fostering a culture of excellence and innovation Leads and collaborates within Agile teams, support business and product changes, and prioritize features for ongoing sprints Stays abreast of new database management system features and functions and drive adoption across Amex to use product capabilities Provides guidance and support to junior engineers, fostering professional growth and development within the team Converts logical data architectures into physical designs and spends significant time on database development and testing Provides administration services for databases, data warehouses, and datamarts, and continuously improves database design and performance Identifies and fixes database performance issues, ensuring optimal replication, high availability, and effective backup and recovery processes Develops and implements standard practices for data management, security, and processes, and contribute to tool and method decisions Enhances Big Data management strategies by designing and implementing advanced partitioning and indexing solutions Collaborates and co-creates effectively with teams in product and the business to align technology initiatives with business objectives 10+ years of experience in data engineering, with a solid focus on GCP. Proficiency in GCP services such as Big Query, Dataflow, Cloud Storage, Cloud Composer (Airflow), and Pub/Sub. Solid understanding of data warehousing concepts and ETL/ELT processes. Experience with data modeling, including dimensional, normalized, and canonical models. Proficiency in SQL and at least one programming language (Python or Scala). Experience with data governance, metadata management, and data quality. Experience with CI/CD practices and DevOps principles. Superb communication, collaboration, and mentoring skills. Experience with Apache Beam, Spark, or Kafka preferred. Experience with Collibra or other data governance tools preferred. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

About us At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for. The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our What and our Why and how we can work together . ExxonMobil’s affiliates in India ExxonMobil’s affiliates have offices in India in Bengaluru, Mumbai and the National Capital Region. ExxonMobil’s affiliates in India supporting the Product Solutions business engage in the marketing, sales and distribution of performance as well as specialty products across chemicals and lubricants businesses. The India planning teams are also embedded with global business units for business planning and analytics. ExxonMobil’s LNG affiliate in India supporting the upstream business provides consultant services for other ExxonMobil upstream affiliates and conducts LNG market-development activities. The Global Business Center - Technology Center provides a range of technical and business support services for ExxonMobil’s operations around the globe. ExxonMobil strives to make a positive contribution to the communities where we operate and its affiliates support a range of education, health and community-building programs in India. Read more about our Corporate Responsibility Framework. To know more about ExxonMobil in India, visit ExxonMobil India and the Energy Factor India. What role you will play in our team UDO DPF Data Engineer will lean in and own the work, connect with others, be resourceful, engage in data communities, apply technical growth, bring enthusiasm and commitment. They will be essential part of a data squad, a small composition of data gurus specifically assigned to a capability, developing domain knowledge and understanding of the data within business workflows so that each and every data product is done right and delights the customer. City: Bengaluru, Karnataka What you will do Perform ETL, ELT operations and administration using modern tools, programming languages and systems securely and in accordance with enterprise data standards Assemble, model, transform large complex sets of data that meet non-functional and functional business requirements into a format that can be analyzed Automate data processing of data from multiple data sources Develop, deploy and version control code for data consumption, reuse for APIs Employ machine learning techniques to create and sustain data structures Perform root cause analysis on external and internal processes and data to identify opportunities for improvement, resolve data quality issues Lead data-related workshops with stakeholders to capture data requirements and acceptance criteria About You Skills and Qualifications Minimum bachelor’s degree in: Data Science, Business Intelligence, Statistics, Computer Engineering or related field, or the equivalent combination of education, professional training, and work experience Min 2 years’ experience performing duties related to data engineering Advance English level Expert proficiency in at least one of these programming languages: Python, NoSQL, SQL, R, and competent in source code management Build processes supporting data transformation, data structures, metadata, dependency, and workload management Create data validation methods and data analysis tools Preferred Qualifications/ Experience Excellent problem-solving skills and ability to learn through scattered resources Automate routine tasks via scripts, code Capacity to successfully manage a pipeline of duties with minimal supervision Experience supporting and working with cross-functional teams in a dynamic environment Modify existing reports, extracts, dashboards, and cubes as necessary Commitment to operations integrity and ability to hold self and others accountable for results Data Governance skills: Data Quality Management, Metadata Management, Data Lineage & Provenance, Master Data Management (MDM), Data Cataloging Tools Experience with tools like Collibra, Alation, Azure Purview, Informatica, or Google. Data Catalog, Data Classification & Tagging Your benefits An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you: Competitive compensation Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits Retirement benefits Global networking & cross-functional opportunities Annual vacations & holidays Day care assistance program Training and development program Tuition assistance program Workplace flexibility policy Relocation program Transportation facility Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company’s eligibility guidelines. Stay connected with us Learn more about ExxonMobil in India, visit ExxonMobil India and Energy Factor India . Follow us on LinkedIn and Instagram Like us on Facebook Subscribe our channel at YouTube EEO Statement ExxonMobil is an Equal Opportunity Employer: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status. Business solicitation and recruiting scams ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil. Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships. Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

Role & responsibilities The candidate must have deep expertise in data management maturity models, data governance frameworks, and regulatory requirements, ensuring businesses can maximize their data assets while complying with both local and international regulations. This is an exciting opportunity to work in a consulting environment, collaborating with industry leaders and driving data-driven business transformation. This role is based in India, with the expectation of traveling to Middle Eastern client locations as required 1. Data Strategy & Advisory Develop and implement enterprise-wide data strategies aligned with business objectives. Assess data maturity levels using industry-standard frameworks and define roadmaps for data-driven transformation. Advise clients on data monetization, data quality, and data lifecycle management 2. Data Governance & Compliance Define and implement data governance frameworks, policies, and best practices. Ensure compliance with local and international data regulations, including GDPR, HIPAA, and region-specific laws. Develop data stewardship programs, ensuring clear roles and responsibilities for data management. 3. Regulatory & Risk Management Provide expertise on data privacy, security, and risk management strategies. Align data strategies with regulatory frameworks such as ISO 27001, NIST, and other industry-specific compliance standards. Advise on data sovereignty and cross-border data transfer policies. 4. Consulting & Pre-Sales Support Conduct client workshops to define data strategy and governance models. Develop thought leadership, whitepapers, and strategic insights to support client engagements. Assist in business development efforts, including proposals and pre-sales discussions. 5. Team Mentorship & Leadership Mentor junior consultants on data governance and strategic advisory. Stay updated on emerging trends in data strategy, regulations, and governance technologies. Represent the company at industry events, conferences, and knowledge-sharing forums. Preferred candidate profile 1. Education & Experience Bachelors or Masters in Data Management, Business Analytics, Information Systems, or a related field. 5 years of experience in data strategy, governance, or regulatory compliance consulting. 2. Technical & Regulatory Expertise Deep understanding of data management maturity models (e.g., DAMA-DMBOK, CMMI for Data Management) ; Should be DAMA Certified Basic Proficiency in data governance tools such as Collibra, Informatica, or Azure Purview. Strong knowledge of local and international data regulations (e.g., GDPR, CCPA, PDPA, UAE’s NDPL, KSA-NDMO , UAE DGE Data Regulations, Dubai Data Law).

Role Description Role Proficiency: Design develop and implement data architecture for a large enterprise in two of the following: Data ingestion Data Management Data Delivery Data Consumption. Outcomes Architect design and implement high performance large volume data integration transformation warehouse data lakes data in cloud or large volume warehouse data in cloud data analysis reporting and visualization of data from data warehouse using any one tool like(PowerBI Tableau D3 etc) Design and implement any one of cloud big data solution (AWS/AZURE/GCP/Apache Hadoop) Plan information architecture by studying the site concept strategy domain and target audience; information structure and features designing information structure evaluating information representation backup recovery and security specification Customer focus – improves customer service effectively engages customers build with customer on your solution capability. Provide end-to-end technical guidance and roadmaps for Sales & Marketing Validate estimates from team Hold certification in Architect/Big Data specialty certification in one of AWS or Azure or GCP with experience in knowledge of other architecting Big Data solutions on other cloud and Big Data platforms Measures Of Outcomes Percent of time spent in a year to develop for customer an architecture or strategy for data Percent of time spent in solving customer problem in data area Percent of time spent for provide data strategy for customer Dollar value of RFP’s won for which solutioning was proposed Dollar value saved for customer using cost reduction or dollar value created for customer by prediction models by you or your team Outputs Expected Strategy & Planning: Develop and deliver long-term strategic goals for data architecture vision and standards in conjunction with data users department managers clients and other key stakeholders Create short-term tactical solutions to achieve long-term objectives and an overall data management roadmap Establish processes for governing the identification collection and use of corporate data assets and metadata; take steps to assure metadata accuracy and validity Establish methods and procedures for tracking data quality completeness redundancy and Improvement Ensure that data strategies and architectures meet regulatory compliance requirements Engage external stakeholders including standards organizations regulatory bodies operators and scientific research communities Ensure business needs in operational data reporting data are met Operational Management Establish governance stewardship and frameworks for managing data across the organization Develop and promote data management methodologies and standards Select and implement the appropriate tools software applications and systems to support data technology goals Collaborate with project managers and business teams for all projects involving enterprise data Address data-related issues with systems integration compatibility and multi-platform integration Act as a leader and advocate of data management including coaching training and Develop and implement key components as needed to create testing criteria in order to guarantee the fidelity and performance of data architecture Document the data architecture and environment in order to maintain a current and accurate view of the larger data picture Identify and develop opportunities for data reuse migration or retirement Project Control And Review Perform data architecture design review Identify opportunities for optimization of cost time and asset utilization in complex projects and advise relevant teams accordingly where possible Provide advice to teams facing complex technical issues in the course of project delivery Conduct planned and unplanned technical audits for complex projects as applicable Define and measure project and program specific architectural and technology quality metrics Knowledge Management & Capability Development Provide inputs to teams for training etc. Identify the training needs and conduct internal sessions to meet the same Partner with UST Gamma to Create curriculum assessments training programs courseware based on new service offerings and solutions etc. Update collateral on to the knowledge management repository Gain and cultivate domain expertise to provide best and optimized solution to customer Requirement Gathering And Analysis Understand the requirements from a larger system / transformation program context Validate the cross application / cross technology requirements to ensure integrate ability and reconciliation of conflicting requirements by working with customers and other stakeholders People Management Provide support to various project managers in identification of training needs of the team Conduct training / certifications with the help of Gamma and mentoring with respect to technical skills on projects Support technical evaluation of external and internal candidates to meet project requirements Perform career guidance and performance management for team members Alliance Management Identify alliance partners based on the understanding of service offerings and client requirements. Identify areas for joint GTM with the partner Develop internal capabilities/complementary toolsets to support the GTM strategy Maintain the relationship with partners Act as the UST technical POC for the specific technology/solution area Technology Consulting Define problem statement for the customer Analyse application/ technology landscape process tools and arrive at the solution options best fit for the client Analyse Cost Vs. Benefits of solution options Define the technology/ architecture roadmap for the client Articulate the cost vs. benefits of options to key stakeholders in customer Innovation And Thought Leadership Participate in external forums (seminars paper presentation etc.) Interact and engage with customers/ partners around new innovative ideas concepts assets; as well as industry trends and implications Participate in Beta testing of products / joint lab setup with customer to explore application of new technologies / products Identify areas where components/accelerators or design patterns could be reused across different accounts Create documents reports white papers (international/national) on the research findings Sales Support And Project Estimation Develop collaterals for proposals Compare various designs and propose appropriate technology solutions based on the understanding of the RFP and inputs from Architects Calculate and present estimates based on high level designs to management for supporting go/ no-go decisions Review estimations and resource plan Review risk and mitigation plan Participate in client presentation and client visits Data Design & Definition Ensure alignment of the high-level architecture with the existing client need and business logic / review design prepared by architects Ensure the involvement of appropriate teams in data design Ensure technical integrate ability requirements compliance of the solution especially in case of a multi group / multi-vendor program Involve external partners / horizontals as appropriate Provide guidance to the team around the usage of data architecture and experience in solution implementation product selection and definition configuration migration and transformations between cloud and hosted solutions. Take responsibility for developing cutting edge wallet applications Ensure UST architecture principles and QOA (Quality of Architecture) are maintained. Analyse trade-offs and provide recommendations if any on the data architecture Identify opportunities for efficiency improvements. Understand the various work streams and the technologies necessary to deliver on large programs Resolve any issues based on industry expertise / partners leverage Provide best in class technology and solution options to customers with detailed examples and case studies. Guide customer on process and technology improvements to achieve agility and quick results Project Management Support Proactive identification and management of technical risks Stakeholder Management Build credibility with the client as a technical go-to person Work to expand professional network in the client organization New Service Design Identify potential opportunities for new service offerings based on customer voice/ partner inputs / industry connects and trends Support the development of business case for investments for approval from management Work with partners to co-develop a joint GTM (as applicable) Develop IP/tools and framework to address the opportunity technically Lead beta testing / POC as applicable Develop collaterals guides for GTM Skill Examples Use knowledge of technology trends to provide inputs on potential areas of opportunity for UST Use knowledge of Architecture Concepts and Principles to create architecture catering to functional and non-functional requirements under guidance of the specialist. Re-engineer existing architecture solutions under the guidance of the specialist. Provide training on best practices in architecture under guidance Use independent knowledge of Design Patterns Tools and Principles to create high level design for the given requirements. Evaluate multiple design options and choose the appropriate options for best possible trade-offs. Conduct knowledge sessions to enhance team's design capabilities. Review the low and high level design created by Specialists for efficiency (consumption of hardware memory and memory leaks etc.) and maintainability of design Use knowledge of Software Development Process Tools & Techniques to identify and assess incremental improvements for software development process methodology and tools. Take technical responsibility for all stages in the software development process. Conduct optimal coding with clear understanding of memory leakage and related impact. Implement global standards and guidelines relevant to programming and development come up with 'points of view' and new technological ideas Use knowledge of Project Management & Agile Tools and Techniques to support plan and manage medium size projects/programs as defined within UST; identify risks and mitigation strategies Use knowledge of Project Metrics to understand relevance in project. Collect and collate project metrics and share it with the relevant stakeholders Use knowledge of Estimation and Resource Planning to create estimate and plan resources for specific modules / small projects with detailed requirements or user stories in place Use knowledge of Knowledge Management Tools & Techniques to leverage existing material/ re-usable assets in knowledge repository. Independently create and update knowledge artefacts. Create and track project specific KT plans. Provide training to others write white papers/ blogs at internal level write technical documents/ user understanding documents at the end of the project Use knowledge of Technical Standards Documentation & Templates to create documentation appropriate for the project needs. Create documentation appropriate for the reusable assets/ best practices/ case studies Use knowledge of Requirement Gathering and Analysis to support creation of requirements documents or user stories and high level process maps. Identify gaps on the basis of business process analyse responses to clarification questions and produce design documents. Create and review estimates and solutions at project level/program level. Create and review design artefacts update resourcing and schedule based on impacted areas identified. Create design specifically for the non-functional requirements Strong proficiencies in understanding data workflows and dataflows Attention to details High Analytical capabilities Creativity in developing solutions Self-learning Resilience in solving problems Knowledge Examples Domain knowledge understanding domain data Applied Mathematics and Statistics Skilled in writing design documents usage of Power Point Visio Data visualization streaming Data migration Data modelling vector and Graphs RDMSs (relational database management systems) SQL Databases such as NoSQL and cloud computing Hadoop technologies like MapReduce Hive and Pig Programming languages especially Python and Java Operating systems including UNIX and MS Windows Cloud solutions Backup/archival software Understanding of data security Additional Comments Job Title: Lead Data Quality Engineer (with Cloud-Agnostic Data Engineering Expertise) ________________________________________ Summary We are seeking a highly skilled Lead Data Quality Engineer with a strong foundation in data engineering to lead our data quality and reliability initiatives across modern, cloud-agnostic data platforms. You will drive the strategy, design, and execution of robust data quality frameworks and performance validation processes for large-scale, distributed data systems. The ideal candidate is a hands-on technologist with a passion for clean, accurate, and high-performing data pipelines — and the ability to work across cloud platforms, teams, and tools to ensure data trustworthiness across the enterprise. ________________________________________ Key Responsibilities Data Quality & Performance Engineering (Primary Focus) Define, implement, and continuously improve data quality frameworks, validation rules, and monitoring systems across data pipelines and APIs. Lead performance and reliability testing for data lakes, data warehouses, and streaming systems. Analyze pipeline and API performance to detect and resolve bottlenecks related to latency, throughput, and reliability. Integrate and manage tools such as Great Expectations, dbt, JMeter, Locust, Grafana, and Prometheus. Lead a team of SDETs focused on test automation and data platform QA across environments. Collaborate with business stakeholders to define data quality KPIs and communicate insights from quality monitoring and performance analysis. Work closely with Data Engineers and Platform Engineers to embed quality controls into CI/CD pipelines and infrastructure-as-code deployments. Data Engineering & Platform Support (Secondary Focus) Contribute to the design and development of data ingestion, transformation, and storage processes. Support scalable ETL/ELT pipelines using best-in-class tools and frameworks. Ensure data governance, lineage, and compliance across distributed cloud environments. Collaborate with BI and analytics teams to ensure data availability for dashboards, APIs, and machine learning models. Contribute to infrastructure automation using tools like Terraform, CloudFormation, or other IaC tools. ________________________________________ Required Qualifications Bachelor's or Master's degree in Computer Science, Information Systems, or a related field. 12+ years in commercial software engineering 5+ years of experience in Data Engineering with a focus on Data Quality, and 2+ years in a lead or senior quality engineering role. Strong hands-on programming skills in Java, Python, and SQL. Expertise in test automation tools (e.g., Selenium, REST Assured, Postman, Cypress). Experience working with relational, NoSQL, and document-oriented databases (e.g., PostgreSQL, MongoDB, Elasticsearch). Familiarity with big data and distributed processing tools such as Apache Spark, Kafka, Hadoop, etc. Proven experience in performance engineering of data systems (e.g., tuning for scale and latency). Hands-on experience with at least one major cloud platform (AWS, Azure, GCP); familiarity with others preferred. Strong communication and stakeholder engagement skills. ________________________________________ Preferred Qualifications Certifications in AWS, Azure, or GCP related to Data Engineering or DevOps. Familiarity with: o Data governance and cataloging tools: Collibra, Apache Atlas, Alation. o Lakehouse systems: Delta Lake, Apache Iceberg, Hudi. o MLOps or DataOps pipelines and platforms (e.g., MLflow, Kubeflow, TensorFlow). Experience in regulated or domain-specific environments such as Hospitality Domain Skills Data Quality Assurance,Data Architecture,Etl Design

Ready to build the future with AI? At Genpact, we don’t just keep up with technology—we set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Principal Consultant- Senior Data Analyst In this role, as Senior Data Analyst, you will support the Data Owners, Data Consumers and Data Stewards in an Enterprise Data Remediation Process intended to remediate data concerns which arise from enterprise data not meeting quality requirements. Responsibilities Analyze if a newly logged data concern is/related to an existing data concern/issue. Conduct Root Cause Analysis which determines the Break Point for Remediation. Defects identified in this process will answer “What” is broken, “where” the break occurred, and the underlying Root Cause, the "Why” of the occurrence. Review and validate data provided and obtain new data where required to commence the Root Cause Analysis (RCA) Process. Analyze Data Quality Rule results to recommend Data Quality Rule modifications or, the need to investigate a Data-Related issue. Document the details of RCA by Recursive Data Transformation review and determine the Root causes of defects. Identify potential preventive measures, tactical and/or strategic system for fixes. Conduct detailed Impact Analysis Confirm Remediation Ownership Improve Data Quality rules including Data Construct, Critical Data Element, Rule registration in Collibra, scripting business rules, collaborating with Technology to implement Rules, Testing implementation of rules. Present Updates to Data Owners and Leadership in the form of Overview Documents, RCA Templates and other Presentations as required. Create Jira Stories and Close them with evidence at the end of each Sprint. Qualifications we seek in you! Minimum Qualifications Relevant experience in any of the following Data Management areas including, Data Cataloguing, Data Lineage, Data Quality Rules, Score card Monitoring. Knowledge of Banking & Capital Market, Liquidity, Payments, Deposits (DDA, Core) from a Risk, Finance, Compliance, Operations or Technology perspective. Strong Data Analysis and Problem-solving skills using excel Thrives in a collaborative environment working with cross functional teams Strong interpersonal skills, interacting with clients both on the business side as well as technical specialists Has worked in an agile environment. Strong Communication and Presentation Skills Bachelor’s degree in finance, Accounting, Economics, Engineering, Computer Science Preferred Qualifications/ Skills Familiarity with Basel II, III, CCAR, CECL, FR 2052A, FDIC and other similar Banking regulations HPALM or similar tool in Issue Management Data Analysis using SQL Collibra JIRA Why join Genpact? Lead AI-first transformation – Build and scale AI solutions that redefine industries Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career—Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Principal Consultant Primary Location India-Bangalore Schedule Full-time Education Level Bachelor's / Graduation / Equivalent Job Posting Aug 30, 2025, 9:34:05 AM Unposting Date Sep 4, 2025, 1:29:00 PM Master Skills List Consulting Job Category Full Time

JOB DESCRIPTION Join our team as a Data Lineage Specialist and play a crucial role in ensuring data transparency and compliance. You'll have the opportunity to grow your career while applying your skills in data management and governance. Be part of a dynamic team committed to excellence and innovation, where your contributions will make a significant impact. As a Data Management Associate - Lineage Specialist at JPMorgan Chase within the Office of the Chief Data Officer (CDO) – SGO, you will track and document data flow across various systems, ensuring data transparency and compliance. You will work closely with data owners to maintain accurate data lineage records and support data governance initiatives. Your role is vital in adhering to firmwide guidelines for Data Risk and Management policies, contributing to the organization's success. Job Responsibilities: Develop and maintain comprehensive data lineage documentation for all data assets. Register lineage for applications in the lineage tool. Ensure compliance with data governance policies and regulatory requirements. Analyze data lineage to identify potential data quality issues. Provide insights to enhance data management practices. Support data governance initiatives with accurate lineage information. Manage the organization's data glossary and dictionary and collaborate with data owners to understand data flow and dependencies. Focus on data tiering strategies to optimize data storage and retrieval. Conduct training sessions on data lineage concepts and tools. Maintain best practices for data controls and work with Risk Control Managers and contribute to the Firmwide working Group for data controls implementation. Required Qualifications, Capabilities and Skills: Bachelor's degree in Computer Science, Information Technology, Data Management, or related field. 2+ years of experience in Data Lineage, Data Cataloguing, Data Tiering, Data Quality, or Data Governance. Excellent analytical and problem-solving skills. Proficiency in manipulating and analyzing large data sets in Excel. Familiarity with PowerPoint basics. Experience with data lineage governance tools like Collibra or Informatica Data Catalog. Excellent written and verbal communication skills. Strong interpersonal skills and ability to build relationships. Self-starter with strong time management skills. Preferred Qualifications, Capabilities and Skills: Certification in data management or data governance (e.g., CDMP, DGSP). Experience with data lineage governance tools is useful. Ability to quickly learn and assimilate business and technical knowledge. Basic understanding of the company's business practices and familiarity with the company's products and services. ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

Are you ready to make it happen at Mondelz International Join our mission to lead the future of snacking and make it with pride. Together with analytics team leaders, you will support our business by providing excellent data models to uncover trends that can drive long-term business results. Your role will involve: - Working closely with the business leadership team to execute the analytics agenda - Identifying and incubating best-in-class external partners for strategic projects - Developing custom models/algorithms to uncover signals, patterns, and trends for long-term business performance - Executing the business analytics program agenda using a methodical approach that communicates the deliverables to stakeholders effectively To excel in this position, you should possess: - Experience in using data analysis to make recommendations to senior leaders - Technical expertise in best-in-class analytics practices - Experience in deploying new analytical approaches in a complex organization - Proficiency in utilizing analytics techniques to create business impacts The Data COE Software Engineering Capability Tech Lead will be part of the Data Engineering and Ingestion team, responsible for defining and implementing software engineering best practices, frameworks, and tools to support scalable data ingestion and engineering processes. Key responsibilities include: - Leading the development of reusable software components, libraries, and frameworks for data ingestion, transformation, and orchestration - Designing and implementing intuitive user interfaces using React.js and modern frontend technologies - Developing backend APIs and services to support data engineering tools and platforms - Defining and enforcing software engineering standards and practices for developing and maintaining data products - Collaborating with data engineers, platform engineers, and other COE leads to build fit-for-purpose engineering tools - Integrating observability and monitoring features into data pipeline tooling - Mentoring and supporting engineering teams in using the frameworks and tools developed Qualifications required: - Bachelor's or master's degree in computer science, engineering, or related discipline - 12+ years of full-stack software engineering experience, with at least 3 years in data engineering, platform, or infrastructure roles - Strong expertise in front-end development with React.js and component-based architecture - Backend development experience in Python with exposure to microservices architecture, FAST APIs, and RESTful APIs - Experience working with data engineering tools such as Apache Airflow, Kafka, Spark, Delta Lake, and DBT - Familiarity with GCP cloud platforms, containerization (Docker, Kubernetes), and DevOps practices - Strong understanding of CI/CD pipelines, testing frameworks, and software observability - Ability to work cross-functionally and influence without direct authority Preferred skills include: - Experience with building internal developer platforms or self-service portals - Familiarity with data catalogue, metadata, and lineage tools (e.g., Collibra) - Understanding of data governance and data mesh concepts - Agile delivery mindset with a focus on automation and reusability In this role, you will play a strategic part in developing the engineering backbone for a next-generation enterprise Data COE. You will work with cutting-edge data and software technologies in a highly collaborative and innovative environment, driving meaningful change and enabling data-driven decision-making across the business. Join us at Mondelz International to be part of our purpose to empower people to snack right, offering a broad range of delicious, high-quality snacks made with sustainable ingredients and packaging. With a rich portfolio of globally recognized brands, we are proud to lead in biscuits, chocolate, and candy globally, and we have a diverse community of makers and bakers across the world who are energized for growth and committed to living our purpose and values. This is a regular job opportunity in the field of Analytics & Modelling.,

About us At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for. The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our What and our Why and how we can work together . ExxonMobil’s affiliates in India ExxonMobil’s affiliates have offices in India in Bengaluru, Mumbai and the National Capital Region. ExxonMobil’s affiliates in India supporting the Product Solutions business engage in the marketing, sales and distribution of performance as well as specialty products across chemicals and lubricants businesses. The India planning teams are also embedded with global business units for business planning and analytics. ExxonMobil’s LNG affiliate in India supporting the upstream business provides consultant services for other ExxonMobil upstream affiliates and conducts LNG market-development activities. The Global Business Center - Technology Center provides a range of technical and business support services for ExxonMobil’s operations around the globe. ExxonMobil strives to make a positive contribution to the communities where we operate and its affiliates support a range of education, health and community-building programs in India. Read more about our Corporate Responsibility Framework. To know more about ExxonMobil in India, visit ExxonMobil India and the Energy Factor India. What role you will play in our team UDO DPF Data Engineer will lean in and own the work, connect with others, be resourceful, engage in data communities, apply technical growth, bring enthusiasm and commitment. They will be essential part of a data squad, a small composition of data gurus specifically assigned to a capability, developing domain knowledge and understanding of the data within business workflows so that each and every data product is done right and delights the customer. City: Bengaluru, Karnataka What you will do Perform ETL, ELT operations and administration using modern tools, programming languages and systems securely and in accordance with enterprise data standards Assemble, model, transform large complex sets of data that meet non-functional and functional business requirements into a format that can be analyzed Automate data processing of data from multiple data sources Develop, deploy and version control code for data consumption, reuse for APIs Employ machine learning techniques to create and sustain data structures Perform root cause analysis on external and internal processes and data to identify opportunities for improvement, resolve data quality issues Lead data-related workshops with stakeholders to capture data requirements and acceptance criteria About You Skills and Qualifications Minimum bachelor’s degree in: Data Science, Business Intelligence, Statistics, Computer Engineering or related field, or the equivalent combination of education, professional training, and work experience Min 2 years’ experience performing duties related to data engineering Advance English level Expert proficiency in at least one of these programming languages: Python, NoSQL, SQL, R, and competent in source code management Build processes supporting data transformation, data structures, metadata, dependency, and workload management Create data validation methods and data analysis tools Preferred Qualifications/ Experience Excellent problem-solving skills and ability to learn through scattered resources Automate routine tasks via scripts, code Capacity to successfully manage a pipeline of duties with minimal supervision Experience supporting and working with cross-functional teams in a dynamic environment Modify existing reports, extracts, dashboards, and cubes as necessary Commitment to operations integrity and ability to hold self and others accountable for results Data Governance skills: Data Quality Management, Metadata Management, Data Lineage & Provenance, Master Data Management (MDM), Data Cataloging Tools Experience with tools like Collibra, Alation, Azure Purview, Informatica, or Google. Data Catalog, Data Classification & Tagging Your benefits An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you: Competitive compensation Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits Retirement benefits Global networking & cross-functional opportunities Annual vacations & holidays Day care assistance program Training and development program Tuition assistance program Workplace flexibility policy Relocation program Transportation facility Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company’s eligibility guidelines. Stay connected with us Learn more about ExxonMobil in India, visit ExxonMobil India and Energy Factor India . Follow us on LinkedIn and Instagram Like us on Facebook Subscribe our channel at YouTube EEO Statement ExxonMobil is an Equal Opportunity Employer: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status. Business solicitation and recruiting scams ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil. Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships. Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

Job Description: ETL Modernization Engineer (OSP Partner) This role is for an OSP provider resource to migrate legacy ETL pipelines (Informatica/Talend) to a modern data stack on Snowflake, dbt, and Fivetran, with strong DataOps, governance, and cost-aware design. Target experience: 7 to 8 years. Role Summary Lead end to end migration of legacy ETL workloads to Snowflake dbt Fivetran, including discovery, design, refactoring, validation, and cutover. Establish reusable patterns for ingestion, transformation, orchestration, testing, observability, and cost optimization. Collaborate with Enterprise Data Architecture, Security, and BI teams to ensure compliant, high-performance delivery. Key Responsibilities Assess current-state: inventory Informatica/Talend jobs, mappings, schedules, dependencies, SLAs, and data contracts. Design target-state: ingestion via Fivetran/ELT, dbt-based transformations, Snowflake schemas (raw/bronze, curated/silver, semantic/gold), and orchestration approach. Migrate and refactor: Convert mappings/workflows to dbt models, macros, seeds, and exposures. Replace hand-coded ingestions with managed connectors (Fivetran) or alternative ELT where required. Implement CDC patterns (e.g., Fivetran + dbt snapshots), SCD handling, and incremental strategies. Data quality and testing: implement dbt tests (schema, referential, accepted values, freshness), anomaly checks, and reconciliation with legacy outputs. Performance engineering: optimize Snowflake warehouses, clustering/partitioning strategies, query tuning, caching/materialization patterns, and costs. Security and governance: apply RBAC roles, masking, row access policies; integrate with lineage/catalog (e.g., OpenLineage/Marquez, Collibra/Atlan/Alation if applicable). Observability and reliability: configure logging/metrics, job run health, SLAs/SLOs, alerting, and incident runbooks. Cutover planning: parallel runs, backfills, data reconciliation, defect triage, rollout, and decommissioning legacy jobs. Documentation and knowledge transfer: architecture diagrams, runbooks, playbooks, and training for client teams. Required Skills and Experience 7 to 8 years in data engineering/ETL modernization with demonstrable migration projects from Informatica or Talend to ELT on cloud data warehouses. Hands on with Snowflake (warehouses, tasks, streams, time travel, Query Profile), performance tuning, security policies, and cost governance. Strong dbt expertise: model design, Jinja/macros, packages, exposures, snapshots, environment promotion, and CI/CD with Git. Practical Fivetran experience: connector configuration, sync scheduling, historical backfills, log based CDC, schema drift handling. Proficient SQL (advanced), with Python preferred for utilities e.g., migration scripts, validation Experience building star/snowflake schemas, dimensional modeling, and semantic layers for BI tools Power BI/Looker/Tableau DataOps and CI/CD: branching strategies, automated tests, deployment pipelines, environment management. Data quality frameworks and reconciliation techniques for migration sign off. Strong stakeholder management: work with architects, security, BI, and business SMEs in phased migration programs. Deliverables Current state inventory and dependency map of legacy pipelines. Target state architecture and migration plan, including cutover strategy. Re platformed pipelines: Fivetran connectors, dbt project(s), Snowflake schemas, roles, and policies. About Virtusa Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us. Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence. Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Role & responsibilities Preferred Should be well-versed with data governance concepts Should be well versed with understanding of design documents like HLD, LLD etc. Should be a self-starter in solution implementation with inputs from design documents Should have development hands-on experience using Collibra Must have worked on One end to end implementation project using Collibra Should have experience in different kinds of testing phases like unit testing, system integration testing, User acceptance testing would be an added advantage Participation in client interaction/meeting is desirable Should have experience to work in onshore/offshore delivery model Should have good communication skills. Strong problem solving and analytical capabilities.