Microsoft Fabric, OneLake, PySpark, Python, and SQL . The ideal candidate will be responsible for building and optimizing modern data pipelines, data platforms, and analytics solutions using Microsoft's data ecosystem. Key Responsibilities Design, develop, and maintain scalable data pipelines and data engineering solutions using
Microsoft Fabric . Work extensively with
Microsoft OneLake for data storage, integration, and management. Develop data transformation and processing solutions using
PySpark and Python . Write and optimize complex
SQL/PSQL queries for data extraction, transformation, and analysis. Build and maintain ETL/ELT workflows within the Microsoft Fabric ecosystem. Work with
Azure data services and integrate cloud-based data solutions. Collaborate with data analysts, architects,
and engineering teams to deliver reliable data solutions. Implement data quality, performance optimization, and monitoring practices. Use
GitHub for source control and collaborative development. Leverage
GitHub Copilot and other AI-assisted development tools to improve engineering productivity. Mandatory Skills Microsoft Fabric OneLake PySpark Python SQL / PSQL Strong understanding of
Data Engineering concepts, ETL/ELT, data pipelines, and data transformation Good-to-Have Skills Azure Azure Data Services Databricks ADS (Azure Data Studio) GitHub GitHub Copilot Experience working with modern cloud data platforms and lakehouse architecture. Experience 5+ years of experience in Data Engineering or a related role. Strong hands-on experience with the
Microsoft data ecosystem . Experience working with large-scale data processing and cloud-based data platforms.
📌 Data Engineer (Hyderabad)
🏢 Ascendion
📍 Hyderabad
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