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Tier-1 brand, mid-level generalist data role in Bangalore with broad Azure skillset increases candidate competition.
Core Azure/Databricks data engineering skills are transferable, though banking domain and compliance add moderate constraints.
Explicit years and mandatory Azure/Databricks/Synapse requirements make shortlisting highly selective.
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Manage planning and coordination of the Data Engineering Team and coordinate activities with suppliers.
Define, develop, test, and release ETL pipelines, data integrations, and maintain local Data Warehouse and Datamarts.
Ensure compliance with Data Management Policy and Privacy regulations; collaborate with stakeholders to ensure data quality, accessibility, and governance.
Minimum 5 years of Data Engineering experience.
Minimum 3 years of Azure platform experience including Azure Synapse and Databricks.
Proficient in SQL, database management, ETL processes, and scripting languages such as PowerShell, Python, and Bash.
Strong knowledge of Azure services, Azure DevOps, CI/CD, Microsoft Fabric (especially PowerBI), and basics of Microsoft PowerAutomate.
Experienced in managing data engineering projects with cross-functional teams, including external suppliers.
Strong expertise in Azure cloud ecosystem and data engineering tools and architectures.
Capability to translate business data process needs into effective data solutions with governance and compliance focus.