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Popular data-engineer role, Pune metro location, and moderate employer brand drive medium competition.
Medium because Azure/Databricks data engineering skills transfer across industries despite financial-sector specifics.
High due to mandatory Azure, Databricks, PySpark skills and secured financial-sector Azure environment.
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Build and operationalize data solutions for business using Azure services such as Azure Data Factory, Azure Databricks, Azure Data Lake Gen 2, and Azure SQL.
Migrate on-premise data warehouses to data platforms on Azure cloud.
Collaborate with offshore development teams and stakeholders, managing requirements, testing, release, and process adherence to improve control environments and reduce operational risk.
Proficiency in Py-Spark and experience with Azure Data Factory, Azure Databricks, and Azure Data Lake Gen 2.
Experience with relational and dimensional modelling including big data technologies.
Experience migrating on-premises data warehouses to Azure cloud data platforms.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in working within secured Azure environments using Azure KeyVaults, Service Principals, and Managed Identities.
Capable of stakeholder management, process adherence, and documentation within project lifecycles.
Able to interact effectively with business teams for requirement gathering and query resolution in an offshore team collaboration context.