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Job Overview : Qualifications : Core Data Engineering Skills

- 5+ years of relevant experience in Technology implementing data-intensive solutions using agile methodologies.
- Deep understanding of data modeling, data warehousing concepts, methodologies, and best practices.
- Strong experience with data processing (e.g., Spark, Starburst, Snowflake, Redshift), storage (e.g., Hadoop, MongoDB, Oracle), and ETL (e.g., Airflow, Ab Initio, Talend) solutions.
- Experience with data engineering techniques such as building data lakes and data warehouses, data mesh architectures, data pipelines, and ETL vs. ELT patterns.
- Strong expertise in Starburst/Trino with deep understanding of data federation and data virtualization architectures.
- Experience with real-time data processing and data virtualization technologies such as Starburst, Snowflake, and Flink (preferred).
- Experience with designing and developing distributed systems, handling structured and unstructured data to store, analyze, and report.
- Experience with developing and maintaining large and complex database systems using relational databases like Oracle, and other big data technologies like Hadoop, Spark, etc.




- Proficient in PL/SQL and Unix Shell scripts. Strong SQL, PL/SQL development, and database tuning experience.
- Experience with Data Quality and data lineage.

AI Agents, Orchestration & Applied AI

- Demonstrable experience with AI Agents, including their design, development, and integration into data engineering workflows and software systems.

- Practical knowledge of Model Context Protocol (MCP) servers, including:

- Setting up and configuring MCP servers to expose data tools, database connections, and APIs as contextual resources for LLM-powered agents.

- Designing MCP-compatible tool interfaces that allow agents to query, transform, and validate data autonomously.

- Understanding MCP's client-server architecture and its role in enabling secure, standardized communication between AI agents and enterprise data systems.

- Understanding of Retrieval-Augmented Generation (RAG) principles, including vector databases (e.g., Pinecone, Weaviate, ChromaDB) and advanced retrieval techniques for grounding agents in enterprise data.

Education :

- Bachelor’s degree/University degree or equivalent experience Job Family Group :Technology
- Job Family : Applications Development
- Time Type : Full time
- Most Relevant Skills :Please see the requirements listed above.
- Other Relevant Skills :For complementary skills, please see above and/or contact the recruiter.

📌 Ai Solutions Data Platform Engineer - Assistant Vice President (Pune)
🏢 Citi
📍 Pune