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Mid-level data engineering role in metro locations with broad Azure/Databricks/PySpark requirements increases applicant competition.
Core data engineering skills are transferable across industries, but Microsoft Fabric/Azure specialization moderately restricts fit.
Explicit 4-7 years requirement plus mandatory Azure, Microsoft Fabric, Databricks, and PySpark skills make shortlisting strict.
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Design, develop, and implement data fabric solutions using Azure, Microsoft Fabric, and cloud technologies.
Build and optimize scalable data pipelines with Pyspark, Azure Databricks, and Azure Data Factory.
Ensure data quality, security, compliance, and maintain data models and storage solutions like Azure SQL and Parquet.
4-7 years of experience in data engineering or similar roles.
Proficiency in Microsoft Fabric, Pyspark, Python, Azure SQL, Azure Databricks, and Azure Data Factory.
Experience with data modeling, Parquet file formats, CI/CD pipelines, and SQL scripting.
Location preference includes Kochi, Chennai, Coimbatore, or Pune.
Strong expertise in Azure cloud technologies and Microsoft Fabric for data engineering.
Experience in end-to-end delivery of scalable data solutions involving data transformation and pipeline design.
Ability to troubleshoot, monitor, and optimize data environments ensuring high performance and reliability.