Experience with data engineering techniques such as building data lakes and data warehouses, data mesh architectures, data pipelines, and ETL vs. ELT patterns.
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 in designing Online Transaction Processing (OLTP), Operational Data Store (ODS), and Data Warehouse applications.
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 and advanced retrieval techniques for grounding agents in enterprise data.
Awareness of Large Language Models (LLMs) (e.g., OpenAI, Gemini, Claude, Llama) and their practical application in data engineering contexts such as automated schema inference, natural language querying, and intelligent data cataloging.
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.
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