Key Responsibilities:
Design and develop end-to-end data solutions using Microsoft Fabric, including Data Pipelines, Lakehouse, Notebooks, and Dataflows.
Build and maintain effective ETL/ELT pipelines using Data Factory in Fabric.
Integrate data from diverse sources into OneLake and organize data into structured, queryable formats (Delta Lake, Parquet, etc.).
Collaborate with data analysts, data scientists, and business stakeholders to deliver high-quality, reliable data models for analytics.
Optimize data performance and storage for large-scale data processing using Synapse Real-Time Analytics and SQL Endpoints.
Implement CI/CD pipelines for Fabric projects using Git integration and deployment pipelines.
Ensure data quality, security, governance, and compliance across the data lifecycle.
Troubleshoot and resolve data pipeline issues, monitor performance, and apply tuning techniques.
Document data architecture, workflows, and standards to support scalability and maintainability.

Location:Pune / Remote

📌 Data Engineer Pune (India)
🏢 BridgeNext
📍 India