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Bengaluru metro plus in-demand Azure Databricks skills create medium competition despite mid-tier employer.
Medium because Azure Databricks skills transfer across industries but require specific cloud tooling expertise.
High due to explicit 8-10 years requirement and mandatory Azure Databricks, PySpark, and advanced SQL.
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Lead design and implementation of secure, scalable, and highly available cloud-based data solutions on Azure.
Develop and optimize Azure Data Services including Azure Data Factory (ADF), Azure Data Lake Storage Gen2 (ADLS Gen2), Azure Databricks with PySpark, and advanced SQL.
Collaborate with clients to translate business requirements into technical solutions leveraging Azure cloud platforms and integrate multiple data sources into data warehouses and data lakes.
8 to 10 years total work experience with at least 4 years focused on Azure Data Services.
Strong hands-on expertise in Azure Databricks, PySpark, Advanced SQL, Azure Data Factory, ADLS Gen2, and data integration.
Experience designing and implementing data warehouses, data lakes, and performing performance tuning for cloud data solutions.
Work Experience Required: 8 to 10 years; Location: Bengaluru, India.
Technically strong with deep expertise in Azure cloud data services, especially Databricks and PySpark for big data engineering.
Experienced in end-to-end cloud data architecture, data modelling, and performance tuning to deliver optimized solutions.
Comfortable collaborating directly with clients to align technical data solutions with business goals.