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Popular mid-level data engineer in Bangalore with broad Azure/PySpark requirements increases applicant competition.
Strong Azure Databricks and Microsoft Fabric focus favors candidates from Azure-centric enterprises, moderately limiting industry transferability.
6+ years plus mandatory PySpark, Azure Databricks, Microsoft Fabric, and enterprise data platform experience makes shortlisting strict.
Design, develop, and maintain scalable batch and streaming data pipelines on Azure Databricks and Microsoft Fabric using PySpark.
Architect and implement Medallion Architecture (Bronze, Silver, Gold layers) for enterprise data processing and analytics.
Manage Microsoft Fabric capacity planning, workspace design, monitoring, security, data sharing, and operational reliability for enterprise-scale data solutions.
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
6+ years of proven Data Engineering experience including enterprise cloud data platform delivery.
Hands-on expertise in PySpark, Azure Databricks, Microsoft Fabric, ETL/ELT processes, and Azure services (Data Lake Storage Gen2, Data Factory, Synapse).
Advanced SQL skills and experience with data modelling, data warehousing, and CI/CD pipelines using Azure DevOps or Git-based tools.
Experienced in implementing Medallion Architecture and modern Lakehouse data platforms in enterprise environments.
Skilled in Microsoft Fabric workspace and capacity management including workload monitoring, optimization, and secure data sharing.
Ability to lead technical design, conduct code reviews, mentor engineers, and collaborate with cross-functional teams in Agile settings.