Roles and Responsibilities
Design, build, and maintain enterprise-grade ELT and ETL processes handling large data volumes using Python, PySpark, Kafka, and Databricks.
Develop and deploy Gen AI agents using Google ADK, Google Flash 2.5+ LLMs, and Human-in-the-Loop (HIL) architecture.
Build data federation layers supporting Data Mesh architectures with Starburst to enable machine learning, deep learning, and NLP use cases.
Develop, deploy, and automate microservice integrations on cloud-native infrastructure using OpenShift or Kubernetes with automated CI/CD pipelines.
Integrate agentic AI tools (Devin.AI, GitHub Copilot) and Model Context Protocol (MCP) using advanced prompt engineering to boost development efficiency.
Ensure strict data quality, governance, risk assessments, and regulatory compliance across all engineered data lifecycles.

Preferred Candidate Profile
Experience:
8+ years overall experience in large-scale application development with recent hands-on deployment of AI agents into production.
5+ years of experience in a Python and PySpark Engineering Lead role delivering high-volume ELT/ETL processes.
Domain background in Banking, Cards, Mortgage, Deposits, or Wealth Management is preferred.

📌 Senior Python Developer Immediate Joiners Only Chennai
🏢 SG Analytics
📍 Chennai