Data Platform Engineer - Assistant Vice President
Citi (company site, opens in a new tab)7+ yrsPuneHybridDirect career pageEst. 30–45 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Build and help own a scalable, high-quality data platform using data virtualization and data-domain approaches.
- Design and improve data pipelines and processing solutions for analytics, including distributed systems and structured or unstructured data.
- Apply data engineering and AI-agent capabilities to enterprise workflows and systems.
Minimum Requirements
- Work Experience Required: 7+ years in Big Data or large-scale application development, including 5+ years of relevant technology experience implementing data-intensive solutions using agile methodologies.
- Strong expertise in Starburst/Trino and data federation or data virtualization architectures.
- Demonstrable experience designing, developing, and integrating AI agents; practical knowledge of MCP servers and interfaces is required, alongside understanding of RAG principles.
- Bachelor’s degree/university degree or equivalent experience.
Ideal Candidate Profile
- Senior data engineer with hands-on experience across scalable data processing, modeling, warehousing, ETL/ELT, data quality, and lineage.
- Best aligned to enterprise environments using distributed data systems and platforms such as Spark, Snowflake, Hadoop, Oracle, or Airflow; experience with real-time processing and Flink is preferred.
- Can connect AI-agent capabilities—including MCP and RAG—to practical enterprise data engineering workflows.