Data Platform Engineer - Assistant Vice President
Citi (company site, opens in a new tab)7+ yrsPuneOn-siteDirect career pageEst. 28–45 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Build and scale a high-quality, data-intensive platform using data virtualization and data-domain approaches.
- Develop and optimize data pipelines and processing solutions across enterprise data systems.
- Integrate AI agents and agent-enabling capabilities into data engineering workflows and systems.
Minimum Requirements
- Work Experience Required: 7+ years in Big Data or large-scale enterprise application development, including 5+ years of relevant technology experience implementing data-intensive solutions using agile methodologies.
- Strong Starburst/Trino expertise, including data federation and data virtualization; hands-on experience with scalable data engineering technologies such as Databricks, Scala, Java, or Python.
- Demonstrable experience designing, developing, and integrating AI agents; practical MCP server knowledge and understanding of RAG principles are required by the listed qualifications.
- Bachelor’s/university degree or equivalent experience; strong SQL and PL/SQL development, database tuning, and Unix Shell scripting experience.
Ideal Candidate Profile
- Senior hands-on engineer with experience building and scaling enterprise data platforms, pipelines, and distributed data systems.
- Strong fit for data virtualization and federation work, with practical grounding in data modeling, warehousing, lakes, data mesh, and ETL/ELT patterns.
- Candidate able to connect agentic AI concepts—including MCP and RAG—to enterprise data tools and workflows.