Back
Mid-level Bangalore data role with broad Azure/Power BI requirements and common title, so high competition.
Azure/Databricks ETL skills are transferable, though fintech data governance adds moderate domain specificity.
Multiple mandatory Azure, Databricks, SQL, PySpark and 6+ years experience makes shortlisting highly strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and maintain scalable data pipelines using Azure Data Factory and Databricks, including PySpark-based data transformations.
Write, optimize, and troubleshoot complex T-SQL queries, stored procedures, and database objects ensuring high data quality and governance.
Build and support advanced interactive Power BI reports and dashboards, manage data refreshes, and enforce data security across platforms.
6+ years of experience in Data Warehousing, SQL, Data Modeling, and Microsoft Power BI.
Strong expertise with SQL Server, Azure SQL Database, and T-SQL (query optimization, indexing, stored procedures).
Hands-on experience with Azure Data Factory, Databricks (PySpark, notebooks, workflows), and Power BI report development and deployment.
Work Experience Required: 6+ years of relevant experience.
Experienced in managing end-to-end Azure data platform solutions including data governance and security (RBAC, Unity Catalog).
Capable of collaborating with business and analytics teams to translate requirements into scalable data and reporting solutions.
Demonstrates depth in advanced data visualization techniques and complex data modeling using Power BI and DAX.