Data Integration, ETL - Analyst

Do you want your voice heard and your actions to count Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the worlds leading financial groups. Across the globe, were 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world. With a vision to be the worlds most trusted financial group, its part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career. Join MUFG, where being inspired is expected and making a meaningful impact is rewarded. Job Title: ETL- Data Integration, Analyst Corporate Title: Analyst Experience:2-5 years Location- Bengaluru Key Responsibilities Demonstrate a strong interest in enterprise business data and processespreferably across HR, Corporate Communications, Legal, Project Portfolio Management, and Complianceby asking thoughtful questions to understand business needs and translating them into clear data and technology requirements. Design, develop, and support ETL and data integration solutions in a production environment, including batch scheduling, monitoring, and incident response. Perform data validation and reconciliation using SQL; analyze data quality issues and partner with upstream and downstream teams to resolve sourcetotarget discrepancies. Create and maintain knowledge articles, operating standards, runbooks, and technical documentation to support ongoing operations, audits, and compliance reviews. Translate technical and architectural concepts into clear, concise updates and materials for internal business and technology stakeholders. Troubleshoot application, integration, and data issues; perform rootcause analysis; and coordinate resolution with internal teams and external vendors. Coordinate work across U.S. and Indiabased partners (such as service desk, engineering, and vendor support teams), tracking progress, risks, dependencies, and delivery milestones. Support SaaS vendor evaluations and demonstrations by gathering requirements, documenting findings, and assisting with fitgap analysis across business needs, technology capabilities, security posture, and compliance requirements. Assist with buildversusbuy analysis by documenting requirements and supporting proofofconcept efforts to replace select vendorhosted (SaaS) capabilities with inhouse solutions, under guidance from senior engineers. Contribute to internal data and workflow tools by writing and maintaining code, unit tests, and documentation using GitHub and GitHub Copilot, following established development patterns, peerreview processes, and secure coding standards. Support the responsible adoption of AIenabled solutions by documenting use cases, assisting with governance requirements, and helping evaluate opportunities to improve business and technology processes. Assist in assessing AI capabilities within existing applications compared to enterpriseprovided Microsoft Copilot capabilities; document vendor security controls and guardrails, and escalate potential risks for appropriate review. Required Skills & Experience Bachelors degree in Information Systems, Computer Science, or a related field, or equivalent professional experience. 12 years of experience in the financial services industry (preferred). Experience as an ETL Analyst with handson exposure to ETL development, Python scripting, and relational databases. Solid understanding of data warehousing and ETL concepts, including fact and dimension tables, star and snowflake schemas, full versus incremental loads, and Slowly Changing Dimensions (SCDs). 12 years of handson experience using SQL and relational databases for ETL development, data analysis, validation, and troubleshooting. Proven exposure to data security principles, technology controls, and regulatory or compliance imperatives within a production environment. Familiarity with Microsoft Copilot and promptbased AI capabilities; handson experience is preferred. Ability to create and interpret system interface specifications, data mappings, and endtoend process designs. Basic understanding of software architecture concepts, including APIs and services, data stores, authentication and authorization mechanisms, and logging and monitoring, and how these components interact within a production system. Exposure to common application patterns such as RESTful APIs, authentication fundamentals, and SQL query patterns used by Java and Pythonbased services. Familiarity with a modern product stack, including Java and/or Python for backend services and APIs, React for frontend user interfaces, and SQL for data access; understanding the typical artifacts required to build and deploy internal products .