We are looking for a hands-on Lead Engineer with strong expertise in Azure, Data Engineering, and AI/LLM technologies. The role involves working closely with clients, building scalable data platforms, and managing a small team.
Key Responsibilities -
Design and build data pipelines and ETL processes
Work on Databricks and Medallion Architecture
Develop solutions using Python, PySpark, and SQL
Implement Azure-based data solutions
Manage CI/CD pipelines using Azure DevOps and GitHub
Work on AI/GenAI and LLM-based applications
Collaborate with clients to deliver data solutions
Lead and mentor a team of 45 members
Contribute to data and AI architecture design
Mandatory Skills -
Data Engineering (Coding, Data Modeling, Data Understanding,
Databricks)
Azure (Strong expertise)
DevOps (Azure DevOps, GitHub, CI/CD pipelines)
Python, PySpark / Spark, SQL
API and ETL development
AI / LLM / LLMOps, Gen AI/Agentic AI
Valuable to Have -
Understanding of Agentic Applications
Vibe Coding
Code review and optimization skills
Role Expectations -
Hands-on development (Python/PySpark preferred)
Experience with GenAI / LLM applications
Client-facing experience
Team management (45 members)
Exposure to Big Data / AI platform architecture
📌 DataOps Lead (Bengaluru)
🏢 Astar Data
📍 Bengaluru
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