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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.
- Solid 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

📌 Ai Solutions Data Platform Engineer (Pune)
🏢 Citi
📍 Pune