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# Data Engineer

- **Company:** Capgemini
- **Location:** United States
- **Experience:** Experienced
- **Salary:** $70,000.0 - $95,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Big Data, Cloud Computing, Information Engineering, Data Governance, Extract Transform Load (ETL), DevOps, Distributed Computing Environment, Apache Hadoop, Python (Programming Language), Machine Learning, Power BI, SQL Databases, Tableau (Software), Snowflake, Apache Spark, Multi-Cloud, Git, Cloudformation, Information Technology, Integration Frameworks, Apache Kafka, Terraform, Stream Processing, Stream Analytics, Software Version Control, Data Pipelines, Databricks
- **Published:** September 24, 2026
- **Apply:** https://www.capgemini.com/jobs/506338-en_US_SAPBTP/x/

## About the Role

* Bachelor's degree in Computer Science, Engineering, or related field
 * 3-8+ years of experience in data engineering or related roles
 * Proficiency in SQL and at least one programming language (Python, Scala, or Java)
 * Experience with ETL tools and frameworks
 * Solid understanding of data modeling, warehousing, and big data concepts
 * Familiarity with distributed processing frameworks (Spark, Hadoop)
 * Experience with CI/CD pipelines and version control (Git)

Preferred Qualifications

 * Experience with Apache Spark, Kafka, or Databricks
 * Knowledge of data governance, security, and compliance
 * Familiarity with infrastructure as code (Terraform, CloudFormation)
 * AWS certifications (e.g., AWS Certified Data Engineer / Solutions Architect)
 * Experience with BI tools (Power BI, Tableau)

Key Competencies

 * Strong problem-solving and analytical skills
 * Excellent communication and collaboration abilities
 * Attention to detail and commitment to data quality
 * Ability to work in a fast-paced, agile environment

Nice to Have

 * Experience with machine learning data pipelines
 * Knowledge of real-time analytics and streaming architectures
 * Exposure to multi-cloud or hybrid environments

## Description

GCP/AWS/Databricks/Snowflake DBT Data Engineer to design, build, and optimize scalable data pipelines and architectures on the AWS cloud platform. The ideal candidate will have strong experience in data engineering, cloud technologies, and modern data frameworks to support analytics, reporting, and data-driven decision-making., * Design, develop, and maintain scalable ETL/ELT data pipelines using AWS services

 * Develop and optimize batch and real-time data processing systems
 * Ensure data quality, integrity, and governance across systems
 * Work with stakeholders to translate business requirements into technical solutions
 * Implement data integration solutions across multiple sources and formats
 * Monitor and troubleshoot data workflows for performance and reliability
 * Optimize costs and performance of AWS/GCP data infrastructure
 * Collaborate with data scientists, analysts, and DevOps teams


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