Senior Cloud Engineer
Capgemini
- Location
- Bengaluru, Karnataka, India
- Job type
- Full-time
Required skills
- Python
- Apache
- Apache Kafka
- Azure
- data lake
- Databricks
- DynamoDB
- Kafka
- NoSQL
- Oracle
- Snowflake
- SQL
- Vault
About the role
Capgemini
Website:
capgemini.com
Job details:
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.
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