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AWS Data Engineer

Cap*** · Atlanta, GA, United States
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Atlanta, GA, United States103,330-128,656 USD/yearlyHybrid
Remuneration
103,330-128,656 USD/yearly
Location
Atlanta, GA, United States
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Job summary

Choosing Cap*** means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible.

Benefits

Like adoption assistance, surrogacy, and cryopreservationSocial well-beingLike subsidized back-up child/elder care and tutoringMentoring, coaching and learning programsEmployee Resource GroupsDisaster ReliefDISCLAIMERCapgemini is an Equal Opportunity Employer encouraging diversity in the workplacThis is a general description of theTo eligible employees.Note: No amount of pay is considered to be wages or compensation until such amouThe base compensation range for this role in the posted location is:$103330 to $

Qualifications

  • We are seeking a skilled Data Engineer with strong hands-on experience in AWS-native data services, particularly Glue, Lambda, EventBridge, and workflow orchestration using Airflow.
  • required for this position.
  • Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed.
  • Whenever necessary to provide individuals with disabilities an equal employment opportunity, Cap*** will consider reasonable accommodations that might involve varying job
  • and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
  • Cap*** is committed to providing reasonable accommodations during our recruitment process.
  • If you need assistance or accommodation, please reach out to your recruiting contact.
  • SALARY TRANSPARENCY
  • Cap*** discloses salary range information in compliance with state and local pay transparency obligations.
  • The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education,
  • certifications, experience,
  • Certifications and licenses, Relevant experience and

Responsibilities

  • Design and develop scalable data pipelines using AWS Glue, Lambda, and Event Bridge for event-driven and batch processing.
  • Build and maintain AWS Glue ETL jobs (PySpark/Python) for data ingestion, transformation, and curation across data lake layers.
  • Develop and manage Airflow DAGs (MWAA or self-managed) to orchestrate data workflows, triggers, and dependencies across AWS services.
  • Implement event-driven architectures using AWS Lambda and Event Bridge for near real-time data processing.
  • Write, optimize, and maintain complex SQL queries in Postgres for data validation, transformation, and reporting.
  • Manage metadata and schema definitions using AWS Glue Data Catalog, ensuring proper governance and discoverability.
  • Build and support robust data ingestion frameworks for batch and near real-time data pipelines.
  • Monitor and troubleshoot pipeline performance using AWS monitoring

Certifications

GitHub Actions

Degrees

Associate

Industry

AutomotiveEducationEnergyHealthcareInsuranceLogistics

Company size

EnterpriseSmb