Mid-Senior Data Engineer; AWS

Join us to apply for the Mid-Senior Data Engineer (AWS) role at Capgemini Engineering.

At Capgemini Engineering, a global leader in engineering services, we bring together engineers, scientists, and architects to help innovative companies unleash their potential. Our experts work on autonomous cars, robots, and more, providing R&D and engineering services across industries. Join us for a career full of opportunities where you can make a difference and no two days are the same.

• Design and implement scalable data pipelines using AWS services such as Glue, Lambda, Step Functions, and Kinesis.
• Develop and optimize ETL workflows for large datasets.
• Build and maintain data lakes and warehouses with S3, Redshift, Athena, and Lake Formation.
• Ensure data integrity, governance, and security through IAM policies, encryption, and compliance.
• Work with structured and unstructured data for analytics, AI/ML, and BI.
• Optimize SQL and No
  
  SQL databases (Redshift, Dynamo
  
  DB, RDS, Open Search).
• Automate infrastructure deployment with IaC tools like Terraform or Cloud Formation.
• Implement real-time and batch data processing with AWS Glue.
• Collaborate with Data Scientists, AI/ML Engineers, and Dev Ops teams.
• Monitor and troubleshoot data pipelines using Cloud Watch, Datadog, or ELK Stack.

• Strong experience as a Data Engineer with AWS expertise.
• Proficiency in Python, SQL, and Spark.
• Hands-on experience with AWS Glue, Redshift, Athena, EMR, S3, Lambda.
• Experience with ETL orchestration tools like Step Functions, Airflow, Prefect, Dagster.
• Familiarity with containerization (Docker, Kubernetes, ECS) and CI/CD pipelines.
• Understanding of data security, IAM, and encryption best practices.

• AWS certifications such as AWS Certified Data Analytics – Specialty or Solutions Architect.
• Experience with ML and AI/ML data pipelines in AWS.
• Knowledge of serverless data engineering with Lambda and API Gateway.
• Hands-on experience with No
  
  SQL databases like Dynamo
  
  DB, Mongo
  
  DB, Open Search.

• Join a multicultural, inclusive team environment.
• Supportive atmosphere promoting work-life balance.
• Engage in exciting national and international projects.
• Hybrid work model.
• Career growth programs and diverse professional development opportunities.
• Training and certification programs.
• Health and life insurance.
• Referral bonuses.
• Great office locations.

Choosing Capgemini means being empowered to shape your career with support from a collaborative global community, reimagining what’s possible. Join us to help organizations unlock technology’s value and build a sustainable, inclusive world.

Apply now!

• Seniority level:
  Mid-Senior level
• Employment type:
  
  Full-time
• Job function:
  Information Technology

This job posting is active and not expired.