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Senior Cloud Engineer

Your Role

  • Design and implement scalable data pipelines using Azure Data Factory, Data Lake, and Databricks ensuring they are optimized for data processing and analytics.
  • Develop and optimize PySpark and SQL workflows for data transformation and orchestration. 
  • Create and refine processes for data modelling, mining and production to support operational and analytical needs.
  • Establish and enforce data quality checks and validation routines to maintain high standards of data accuracy and reliability.

Your Profile

  • Over 6 years of hands-on experience with Azure Data Services including Data Lake, Data Factory, Key Vault and Cognitive Search. 
  • Proficient in Databricks ecosystem including cluster optimization, performance tuning with expertise in Delta Lake, PySpark and orchestrating workflows. 
  • Experience with any relational SQL (SQL Server/Oracle) and NoSQL (MongoDB/DynamoDB) databases including Snowflake along with strong expertise in Python/PySpark for large‑scale data processing. 
  • Experience with real-time systems like Event Hubs, Apache Kafka, Spark-Streaming, etc. 
Ref. code:  366166
Posted on:  29 Apr 2026
Experience Level:  Experienced Professionals
Contract Type:  Permanent
Location: 

Bangalore, IN

Brand:  Capgemini Invent
Professional Community:  Cloud Infrastructure Management

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