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# Data Engineer

- **Company:** Capgemini
- **Location:** Houston, TX, United States
- **Experience:** Experienced
- **Salary:** $81,744.0 - $127,712.0
- **Contract:** Temporary contract
- **Skills:** Amazon Web Services, Amazon S3, Big Data, Data Infrastructure, Extract Transform Load (ETL), Data Mining, Data Systems, Data Warehousing, Python (Programming Language), SQL Databases, Data Streaming, Snowflake, Data Lakes, Semi-structured Data, AWS Glue, Functional Programming, Data Pipelines
- **Published:** May 14, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=1a8a01041fc7b02d

## About the Role

Do you have experience in SQL?, 6+ Years of experience in the industry

 * Design and Development: Design, develop, and implement data pipelines using AWS services such as AWS Glue, Lambda, S3, Kinesis, and Snowflake to process large-scale data.
 * ETL Processes: Build and maintain robust ETL processes for efficient data extraction, transformation, and loading, ensuring data quality and integrity across systems.
 * Data Warehousing: Design and manage data warehousing solutions on AWS, particularly with Redshift, for optimized storage, querying, and analysis of structured and semi-structured data.
 * Data Lake Management: Implement and manage scalable data lake solutions using AWS S3, Glue, and related services to support structured, unstructured, and streaming data.
 * Collaboration: Work closely with data scientists, analysts, and business stakeholders to understand data needs and deliver data solutions aligned with business goals.
 * Documentation: Create and maintain documentation for data infrastructure, data pipelines, and ETL processes to support internal knowledge sharing and compliance.
 * Required hands-on experience with Python and SQL (2+ years)



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