Data Pipelie Delivery- Senior Analyst
MUFG Americas (company site, opens in a new tab)8–10 yrsBengaluruOn-siteDirect career pageEst. 25–40 LPA
Posted 11h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and optimize AI-assisted data ingestion and transformation pipelines primarily in Snowflake and AWS cloud environments.
- Lead end-to-end pipeline delivery including testing, monitoring, documentation, governance, and operational support for enterprise data platforms.
- Collaborate with cross-functional teams to translate business requirements into scalable data products and enable AI-driven analytics workflows.
Minimum Requirements
- 8-10 years overall experience with at least 5 years in data engineering, data warehousing, or related roles.
- Hands-on expertise in SQL, Python (including PySpark), Snowflake, and AI-assisted pipeline development techniques.
- Experience with cloud platforms (AWS), workflow orchestration tools (e.g., Airflow, Autosys), and production data pipeline support.
- Bachelor’s degree in computer science, information systems, data analytics, engineering, or related field; advanced degrees/certifications preferred.
Ideal Candidate Profile
- Experienced in implementing AI-assisted data engineering, including generative AI tools and machine learning-enabled pipeline automation.
- Strong background in data governance, quality, lineage, and secure data handling within regulated enterprise environments.
- Proven ability to lead complex technical delivery and collaborate with stakeholders across technology, business, and leadership levels.