- 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)
🏢 BridgeNext
📍 Pune
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