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# Senior Data Engineer - Azure

- **Company:** Capgemini
- **Location:** Fremont, CA, United States
- **Experience:** Expert
- **Salary:** $133,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Cloud Database, Cloud Storage, Computer Programming, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), SQL Azure, Azure Data Lake, SQL Databases, Talend, Snowflake, Data Lakes, Pyspark, Google Bigquery, Cosmos DB, Data Management, Azure Synapse Analytics, Amazon Redshift, Databricks
- **Published:** August 28, 2026
- **Apply:** https://www.capgemini.com/jobs/540352-en_US_SAPBTP/x/

## About the Role

We are seeking a highly experienced Senior Data Engineering Lead with minimum 8+ years' experience in modern data engineering, data warehousing and data lake technologies on Azure cloud platform. The successful candidate will possess a strong technical background and proven leadership skills to manage stakeholders, design, and lead development efforts., * Data Warehousing: Expertise in data warehouse best practices, development standards and methodologies. Minimum of 8 years of experience in modern data engineering, data warehousing (Azure Synapse, Azure SQL, Amazon Redshift, Snowflake or Google Big Query), and data lake technologies on the Azure cloud.

 * Big Data Tools: Strong experience with platforms (mandatory) such as Databricks (preferable). Experience with Databricks is highly desirable but not mandatory.
 * Must be able to implement Medallion Architecture for data management.
 * Lead development teams, drive project timelines, and ensure high-quality deliverables.

Skills & experience

 * Programming Skills: Stellar hands-on expertise in Python, PySpark, and SQL.
 * Azure Expertise: Proficient in Microsoft Azure Cloud Services.
 * Data Warehousing: Expertise in data warehouse best practices, development standards and methodologies. Minimum of 8 years of experience in modern data engineering, data warehousing (Azure Synapse, Azure SQL, Amazon Redshift, Snowflake or Google Big Query), and data lake technologies on the Azure cloud.
 * Data Modeling Expertise: Minimum of 12 years of proven experience with SQL, schema design, and dimensional data modeling.
 * Big Data Tools: Strong experience with platforms (mandatory) such as Databricks (preferable). Experience with Databricks is highly desirable but not mandatory.
 * Cloud Data Engineering concepts: Experience with common ETL/ELT tools (ADF, Informatica, Talend) and implementing Medallion Architecture for data management.
 * Data Management and Storage: Proficiency with Azure SQL Database, Azure Data Lake Storage, Azure Cosmos DB, Azure Blob Storage, etc.
 * Analytical Skills: Strong analytical and problem-solving skills.
 * Leadership: Lead development teams, drive project timelines, and ensure high-quality deliverables.



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