Hope you are doing well.We are currently hiring for the role of Azure Data Engineer for one of our leading clients, and your profile seems to be a strong match for this prospect.Location: Pan India Experience Required: 4 to 12 yearsMandatory Skills: Azure Data Engineering, Azure Databricks (ADB), Azure Data Factory (ADF), PySparkJob Description Key Responsibilities1. Data Engineering & Pipeline DevelopmentDesign, build, and maintain largescale ETL/ELT pipelines using Azure Data Factory and Azure Databricks.Implement batch and real-time data workflows for structured & unstructured data.Develop high-performance transformation logic using PySpark and Spark SQL.2. Azure Cloud Data ServicesHands-on experience with: Azure Data Lake Storage (ADLS Gen2)Azure DatabricksAzure Synapse AnalyticsAzure Key Vault, Azure MonitorOptimize Databricks jobs, clusters, and data processing workflows.3. Data Modeling & Data QualityDesign scalable models: star schema, snowflake,



Delta Lake architecture.Implement data validation & data quality rules.Work with Delta Lake features: ACID, time travel, schema enforcement.4. Performance OptimizationTune PySpark jobs for scalability and performance.Optimize Parquet/Delta storage formats and partitioning strategies.Troubleshoot pipelines, clusters, and ADF workflows.5. Collaboration & DocumentationWork closely with analysts, business teams, and application teams.Document data pipelines and architecture diagrams.Support CI/CD using Git and Azure DevOps.If you are interested, please reply with your updated CV along with the following details:Total Experience:Relevant Experience in Azure Data Engineering:Current CTC:Expected CTC:Notice Period:Current Location:Preferred Location:Looking forward to hearing from you.Thanks & Regards,Talent AcquisitionCapgemini

📌 Opportunity for Azure Data Engineer Role Pan India (Pune)
🏢 Capgemini Technology Services India
📍 Pune