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