IN Senior Associate_Azure Data Engineer with Microsoft Fabric Analytics

Position: Azure Data Engineer / Microsoft Fabric Analytics Engineer Experience: 5-10 Years Location: Bangalore Type: Full Time Certifications: Azure Data Engineer Associate (DP-203), Microsoft Fabric Analytics Engineer Associate (DP-600 / DP-700) Preferred About the Role: We are seeking an experienced Azure Data Engineer / Microsoft Fabric Analytics Engineer to join our data engineering team. The ideal candidate will have a solid background in designing, building, and maintaining scalable data solutions using Azure Data Services and Microsoft Fabric. You will work closely with cross-functional teams to deliver high-quality data platforms that drive business insights and decision-making.

- Design, develop, and maintain end-to-end data pipelines and data integration solutions using Azure Data Factory and Microsoft Fabric. - Build and optimize Lakehouse and Data Warehouse solutions within Microsoft Fabric. - Develop data transformation logic using PySpark, Spark SQL, and Python. - Implement medallion architecture (Bronze, Silver, Gold) for data lake solutions. - Create and manage data models, semantic models, and datasets for reporting and analytics. - Ensure data quality, consistency, and security across all data platforms. - Monitor, troubleshoot, and optimize data pipeline performance. - Collaborate with data architects, data scientists, analysts, and business stakeholders to understand data requirements. - Implement data governance policies and best practices. - Document technical designs, data flows, and solution architectures. - Stay updated with the latest Azure and Microsoft Fabric features and best practices. Mandatory skill sets: Required Skills: - 5-10 years of hands-on experience in data engineering and analytics. - Proficiency in Azure Data Services including: - Azure Data Factory - Azure Synapse Analytics - Azure Data Lake Storage (ADLS Gen2) - Azure SQL Database - Proficiency in Microsoft Fabric workloads: - Data Engineering (Lakehouse, Notebooks) - Data Warehouse - Data Pipelines - OneLake - Strong programming skills in PySpark, Spark SQL, Python, and SQL. - Experience with data modeling (dimensional modeling, star/snowflake schemas). - Knowledge of ETL/ELT design patterns and best practices. - Experience with Delta Lake and lakehouse architecture. - Strong analytical, problem-solving, and troubleshooting .