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Senior Azure/Databricks specialization in Pune with moderate-brand M&G yields medium competition.
Azure Databricks and PySpark skills are broadly transferable across industries.
Requires specific Azure, Databricks and PySpark expertise, creating moderately strict technical shortlisting.
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Own and enhance data solutions using Azure services such as Azure Data Factory, Azure Databricks, and Azure Data Lake Gen 2 to support business needs.
Drive migration of on-premise data warehouses to Azure cloud data platforms including design and implementation of data engineering, ingestion, and transformation functions.
Maintain controls to reduce operational risk and improve overall control environment through collaboration and accountability.
Experience with Azure cloud services including Azure Data Factory, Azure Databricks, Azure Data Lake Gen 2, and Azure SQL.
Proficiency in PySpark and experience in relational and dimensional data modeling, including big data technologies.
Experience migrating on-premise data warehouses to Azure cloud platforms and working in secured Azure environments using Azure KeyVaults, Service Principals, and Managed Identities.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in end-to-end Azure data platform projects including design, development, deployment, and performance tuning of data pipelines.
Able to collaborate effectively with offshore development teams and engage in project lifecycle activities like requirement analysis, testing, and release.
Capable of interacting with business stakeholders for requirement gathering and query resolution, with skills in stakeholder management, process adherence, and documentation.