Opportunity for Azure Data Engineer Role Pan India

Job Description 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 opportunity. Location: Pan India Experience Required: 4 to 12 years Mandatory Skills: Azure Data Engineering, Azure Databricks (ADB), Azure Data Factory (ADF), PySpark Job Description Key Responsibilities 1. Data Engineering & Pipeline Development Design, 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 Services Hands-on experience with: Azure Data Lake Storage (ADLS Gen2) Azure Databricks Azure Synapse Analytics Azure Key Vault, Azure Monitor Optimize Databricks jobs, clusters, and data processing workflows. 3. Data Modeling & Data Quality Design 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 Optimization Tune PySpark jobs for scalability and performance. Optimize Parquet/Delta storage formats and partitioning strategies. Troubleshoot pipelines, clusters, and ADF workflows. 5. Collaboration & Documentation Work 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 Acquisition Capgemini