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Mid-level Azure Data Engineer in Pune with common skills and metro location, leading to high competition.
Azure data engineering skills are transferable, but finance-specific security and regulatory knowledge increases sensitivity.
Explicit 4–7 years plus mandatory Azure, Databricks, PySpark and DevOps skills create high strictness.
Design, build, and operationalize data engineering solutions on Azure Cloud using services like Azure Data Factory, Databricks, and Azure Data Lake Storage.
Lead migration of on-premise data warehouses to Azure cloud data platforms and implement modern data platform architectures including Lakehouse/Datawarehouse.
Develop and maintain CI/CD pipelines using Azure DevOps, capacity plan and tune data pipelines, and support Power BI data visualization development.
4-7 years of experience in Azure Data Engineering.
Proficient technical skills in Azure Data Factory, Azure Data Lake Storage V2, Azure SQL, Azure Databricks, PySpark, Azure DevOps, and Power BI.
Graduate or Post-graduate degree preferably in Computer Science, Statistics, Mathematics, Data Science, Engineering, or related discipline.
Microsoft Azure certification is good to have but not mandatory.
Experienced in handling end-to-end Azure data platform lifecycle including ingestion, transformation, and deployment in secured environments.
Demonstrated ability to collaborate with business teams and offshore development teams within a structured SDLC process.
Strong operational focus on performance tuning, capacity planning and adherence to organizational risk and controls in data engineering projects.