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# Senior Data Engineer - Databricks

- **Company:** Capgemini
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Salary:** $89,400 - $166,398
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Cloud Computing, Databases, Continuous Integration, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Visualization, Data Warehousing, Database Development, Python (Programming Language), Performance Tuning, Systems Integration, Talend, Unstructured Data, Workflow Management Systems, Google Cloud, Apache Spark, Data Lakes, Pyspark, Marketplace, Data Pipelines, Databricks
- **Published:** November 12, 2026
- **Apply:** https://www.capgemini.com/jobs/567131-en_US_SAPBTP/x/

## About the Role

We are looking for an experienced Data Engineer with strong expertise in designing, building, and optimizing scalable data solutions on the Databricks Lakehouse Platform. Skilled in developing end-to-end ETL/ELT pipelines using Apache Spark (PySpark), Delta Lake, and cloud platforms such as Azure, AWS, or GCP. Proficient in data modeling, data warehousing, performance tuning, and integrating structured and unstructured data from multiple sources., * 6+ Years of Experience in Data Engineering

 * At least four years of experience designing and delivering data engineering solutions with Databricks
 * Expert level hands on development knowledge in PySpark/Python
 * Expert level hands on SQL development skills
 * Hands on cloud platform experience in two of the following cloud platforms: Azure, AWS, Google Cloud
 * Prior expertise deploying Delta Lake Solutions into production
 * Experience extracting value from large and complex sets of data from various sources and databases
 * Solid grasp of database engineering and design principles
 * Familiarity with CI/CD methods desired
 * Background working with orchestration tools, such as Airflow
 * Strong knowledge of Unity Catalog
 * Past or current experience with an ETL tools such as Infomatica, Talend, Matillion desired
 * Delta Sharing and Marketplace Expertise
 * Experience working with Databricks Apps
 * Working knowledge of Databricks Genie, AI/BI and Databricks Data Visualization Capabilities
 * Conceptual, Logical and Physical Data Modeling Experience Preferred'

## Description

* Define and deploy an end to end data architecture that includes Databricks medallion architecture
 * Experience leading large teams of engineers and developers to deploy Databricks solutions
 * Experienced in managing senior client stakeholders