Posted Apr 6, 2026
As a Lead Data Engineer specializing in ETL Development at AA GLOBUSDIGITAL INDIA PRIVATE LIMITED, you will play a crucial role in designing, developing, and maintaining robust ETL/ELT pipelines for various data sources. Your expertise in SQL and Python will be essential in ensuring data integrity, reliability, scalability, and performance across pipelines. Working with Lakehouse architecture, you will manage structured and unstructured data, while integrating GenAI, RAG, and LangChain-based solutions into data workflows. Key Responsibilities:
Design, develop, and maintain robust ETL/ELT pipelines for various data sources. - Work with Lakehouse architecture to manage structured and unstructured data. - Ensure data quality, reliability, scalability, and performance across pipelines. - Build and integrate GenAI-driven automation solutions using frameworks like LangChain and RAG. - Implement workflows involving model-driven reasoning, orchestration, and tool usage (e.g., MCP). - Write clean, efficient, and optimized Python code for data transformation, processing, and automation tasks. - Collaborate with cross-functional teams to expose internal data services through APIs. Qualifications Required:
45 years of experience in Data Engineering or similar roles. - Strong expertise in SQL (PostgreSQL preferred) and Python. - Hands-on experience with ETL/ELT development and Lakehouse architecture. - Exposure to modern AI/LLM frameworks: LangChain, RAG pipelines, GenAI automation, MCP. - Experience working with REST APIs. - Good understanding of software engineering practices, version control (Git), and CI/CD. Key Responsibilities:
Design, develop, and maintain robust ETL/ELT pipelines for various data sources. - Work with Lakehouse architecture to manage structured and unstructured data. - Ensure data quality, reliability, scalability, and performance across pipelines. - Build and integrate GenAI-driven automation solutions using frameworks like LangChain and RAG. - Implement workflows involving model-driven reasoning, orchestration, and tool usage (e.g., MCP). - Write clean, efficient, and optimized Python code for data transformation, processing, and automation tasks. - Collaborate with cross-functional teams to expose internal data services through APIs. Qualifications Required:
45 years of experience in Data Engineering or similar roles. - Strong expertise in SQL (PostgreSQL preferred) and Python. - Hands-on experience with ETL/ELT development and Lakehouse architecture. - Exposure to modern AI/LLM frameworks: LangChain, RAG pipelines, GenAI automation, MCP. - Experience working with REST APIs. - Good understanding of software engineering practices, version control (Git), and CI/CD.
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