Role Summary We are seeking a Data Engineer with strong experience in building scalable data solutions on modern data platforms. The ideal candidate will be technically solid, research-oriented, and capable of designing efficient data pipelines while collaborating closely with BI and analytics teams. Exposure to Microsoft Fabric is a strong plus. Strong visualization, experience working on fabric, migration to dynamics ( good to have), Integrations ( good to have) ________________________________________

Key Responsibilities
• Design, develop, and maintain scalable data pipelines and notebooks using Microsoft Fabric and/or Azure Synapse Analytics.
• Build and manage Lakehouses and Data Warehouses, leveraging modern lakehouse architecture (OneLake exposure preferred).
• Integrate data from multiple structured and unstructured sources using Dataflows, Pipelines, and Notebooks.
• Collaborate with BI and analytics teams to enable seamless integration with Power BI and reporting tools.
• Implement and adhere to data governance, security, and compliance standards.




• Optimize data storage and processing for performance, scalability, and cost efficiency.
• Monitor, troubleshoot, and enhance data workflows, ensuring data quality and reliability.
• Contribute to architectural decisions with a research-oriented, forward-thinking mindset.
• Maintain clear documentation for data architecture, models, and processes.
• Implement automated functional testing as part of data pipeline development. ________________________________________ Required Skills
• Strong hands-on experience with PySpark
• Spark SQL
• Data Modeling (conceptual, logical, and physical)
• Proven experience in data pipeline design and ingestion patterns
• Experience working in cloud-based data platforms (Microsoft Azure)
• Experience with Azure Synapse Analytics
• Exposure to CI/CD and automated testing for data solutions Location
- Pune Mumbai Chennai Ahmedabad Noida Delhi

📌 Cloud Engineer (India)
🏢 Innova ESI
📍 India