Senior Python & Cloud Engineer

Opportunity for Azure Data Engineer Role Pan India

CAPGEMINI TECHNOLOGY SERVICES INDIA LIMITED

5 to 10 Yrs

Delhi, Chennai +8

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.

Job Description

• Data Engineering & Pipeline Development – Design, build, and maintain large‑scale 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.
• 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.
• 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.
• Performance Optimization – Tune PySpark jobs for scalability and performance. Optimize Parquet/Delta storage formats and partitioning strategies. Troubleshoot pipelines, clusters, and ADF workflows.
• 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.

To apply, please reply with your updated CV and the following details:

• Total Experience
• Relevant Experience in Azure Data Engineering
• Current CTC
• Expected CTC
• Notice Period
• Current Location
• Preferred Location

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