Key Responsibilities
Data Pipeline & Architecture: Design and build robust ETL/ELT data pipelines using Azure Data Factory, Azure Databricks, and Microsoft Fabric to process batch and real-time streaming data.
AI & LLM Data Integration: Prepare, clean, and structure enterprise data lakes/lakehouses to feed Azure OpenAI, vector databases, and Retrieval-Augmented Generation (RAG) architectures.
Data Modeling & Governance: Implement medallion architectures (Bronze, Silver, Gold), ensure data quality, and manage data governance/lineage using tools like Microsoft Purview or Unity Catalog.
Collaboration: Partner with data scientists, AI engineers, and business analysts to operationalize machine learning models and AI agents.

Required Skills & Qualifications
Cloud Platforms: Hands-on experience with Microsoft Azure (ADF, Azure Databricks, Azure Synapse Analytics, ADLS Gen2, and Microsoft Fabric).
Programming & Querying: Advanced proficiency in Python, PySpark, Spark SQL, and complex SQL.
AI & GenAI Familiarity: Knowledge of vector embeddings, semantic search, prompt grounding, and integrating Azure AI / OpenAI endpoints.

📌 Azure Data Engineer + Ai 11 Sept Friday Bengaluru Video 8+yrs
🏢 Tata Consultancy Services
📍 Bengaluru