Data Services Delivery AI Engineer - Assistant Vice President
Mitsubishi UFJ Financial Group16 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Lead the strategy, design, implementation, and delivery of enterprise data engineering, integration, reporting, and analytics solutions.
- Manage data analysis and integration across disparate systems and create semantic layers for data virtualization.
- Develop reports and dashboards using Tableau, Power BI, and similar BI tools.
- Support ETL, BI design, data pipelines, data access engineering, and related frameworks.
- Translate business requirements into technical designs for implementation and deployment.
- Extract, transform, and load structured and unstructured data into AWS data lakes and Snowflake.
- Use GitHub Copilot and AI-assisted development tools to improve productivity, documentation, testing, and code quality.
- Design AI-enabled automation solutions using Agentic AI frameworks for data engineering, reporting, and operational processes.
- Support data quality controls, prototypes, design artifacts, SIT, UAT, issue resolution, and defect triage.
- Optimize data integration platforms for performance and increasing data volumes.
- Develop data integration standards and review other developers’ work for methodological consistency.
- Collaborate with business and technology stakeholders and work within Agile teams using JIRA.
Requirements
- Bachelor’s degree or foreign equivalent in Information Technology, Information Systems, Computer Science, Software Engineering, or a related field.
- 10–15 years of experience is stated for the role, including at least 8 years leading dashboard and report design, development, and optimization.
- At least 5 years of experience integrating BI tools with data warehouses or lakes such as Snowflake, including data modeling and dashboard UX/UI.
- At least 3 years of experience migrating reports from legacy platforms.
- At least 5 years of strong proficiency with AWS services including Glue, Redshift, EMR, RDS, Kinesis, S3, Athena, DynamoDB, Step Functions, and Lambda.
- At least 2 years of experience with data pipelines for modern data platforms such as Snowflake.
- At least 4 years of hands-on experience with AI-assisted engineering tools such as GitHub Copilot or similar platforms.
- At least 2 years of experience with Agentic AI, prompt engineering, large language models, RAG, AI governance, and responsible AI adoption.
- Strong knowledge of data warehousing, data lakes, data mesh, data modeling, databases, governance, security, protection, and data access.
- Excellent communication and collaboration skills.
- Financial services experience is preferred, and banking products and US-bank operational, risk, or regulatory reporting knowledge are advantageous.
- Exposure to Starburst, Dremio, or Denodo, familiarity with data mesh and data fabric, cloud data governance and compliance experience, and AWS, Snowflake, Power BI, or Tableau certifications are desirable.
Benefits
- The position is located in Bengaluru.
- MUFG is an equal opportunity employer committed to merit-based hiring regardless of race, religion, or gender.
Tech Stack
Categories
Data Engineering
About Mitsubishi UFJ Financial Group
Mitsubishi UFJ Financial Group is a publicly traded Japanese banking group headquartered in Chiyoda, Tokyo, offering commercial and investment banking, trust banking, securities, credit cards, consumer finance, asset management, and leasing to consumers, corporations, and institutions. It generates revenue from lending interest, transaction fees, and investment services. Formed in 2005 through the merger of Mitsubishi Tokyo Financial Group and UFJ Holdings, MUFG operates globally across the Americas, EMEA, and Asia-Pacific markets.