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Mid-level and metro role increases applicant density, but specialized Azure/Fabric/Databricks skills moderate competition.
Requires specific Azure Fabric, Databricks, and Spark experience, moderately limiting cross-industry transferability.
Explicit 5+ years plus mandatory Azure, Fabric, Spark, and DevOps skills create rigid shortlisting filters.
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Lead Fabric and Power BI migrations, support, and engineering tasks within the BI landscape.
Manage problem and incident resolution across Microsoft Fabric, Power BI, and associated Azure big data services including Data Lake, Data Factory, Databricks, Synapse, and SQL Server.
Ensure governance, security, cost optimization, and efficient data delivery architecture across on-prem and cloud environments.
5+ years experience in Business Intelligence, Data & Report Engineering, or related roles.
Hands-on expertise in Spark engineering (Spark, PySpark, Spark SQL), Azure applications, DevOps, CI/CD, and Fabric workload operations.
Education: IT Graduate (BE, BTech, MCA) preferred.
Must work from Pune client office two days a week.
Experienced in operational support (OPS/Run teams) and incident/problem management in BI environments.
Strong data engineering and data modeling skills with expertise in Azure cloud services and Microsoft Fabric workloads.
Familiarity with Agile/Scrum methodologies and working in captive or global delivery environments.