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Strong employer brand, popular mid-level data role and Bangalore metro location create high competition.
Data engineering skills are transferable across industries but Azure/Microsoft Fabric specialization adds moderate domain sensitivity.
Explicit 5–6 years plus specific Azure/Fabric and PySpark skill requirements increase filtering strictness.
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Design, develop, and maintain scalable end-to-end data pipelines and integration solutions using Azure Data Factory and Microsoft Fabric.
Build and optimize Lakehouse and Data Warehouse architectures within Microsoft Fabric applying medallion architecture pattern (Bronze, Silver, Gold).
Collaborate with cross-functional teams to deliver high-quality data platforms ensuring data quality, security, and governance.
4 to 6 years of hands-on experience in data engineering and analytics.
Proficiency in Azure Data Services (Azure Data Factory, Synapse Analytics, ADLS Gen2, Azure SQL Database) and Microsoft Fabric workloads (Data Engineering, Lakehouse, Data Warehouse, Data Pipelines, OneLake).
Strong programming skills in PySpark, Spark SQL, Python, and SQL.
Bachelor's or Master's degree in Engineering (BE, B.Tech, ME, M.Tech) or related fields with minimum 60% marks.
Certified or actively pursuing Microsoft Azure Data Engineer Associate (DP-203) and Microsoft Fabric Analytics Engineer Associate (DP-600) certifications.
Experience working with Delta Lake, lakehouse architecture, data modeling (dimensional/star/snowflake schemas), and ETL/ELT best practices.
Comfortable working in Agile/Scrum environments with exposure to Azure DevOps, CI/CD pipelines, and collaboration with diverse stakeholder teams.