Data Engineer (AWS)

Capgemini is a global leader partnering with companies to transform and manage their business by harnessing the power of technology. It is a responsible and diverse organization with over 360,000 team members globally in more than 50 countries. The company focuses on cloud, data, AI, connectivity, software, digital engineering, and platforms, serving clients from strategy to operations.

• Proven experience in Big Data or Cloud projects involving large and unstructured datasets across various SDLC phases.
• Hands-on experience with AWS cloud services including Storage, Compute (and Serverless), Networking, and DevOps.
• Solid understanding of AWS services, ideally supported by relevant certifications.
• Familiarity with several of the following technologies: Glue, Redshift, Lambda, Athena, S3, Snowflake, Docker, Terraform, CloudFormation, Kafka, Airflow, Spark.
• Basic proficiency in at least one of the following programming languages: Python, Scala, Java, or Bash.
• Very good command of English; German language skills are an advantage.

Nice to have:

• Experience with orchestration tools (e.g., Airflow, Prefect).
• Exposure to CI/CD pipelines and DevOps practices.
• Knowledge of streaming technologies (e.g., Kafka, Spark Streaming).
• Experience working with Snowflake or Databricks in production or development.
• Relevant certifications in AWS, data engineering, or big data technologies.

• Design and implement solutions for processing large-scale and unstructured datasets (Data Mesh, Data Lake, or Streaming Architectures).
• Develop, optimize, and test modern DWH/Big Data solutions based on the AWS cloud platform within CI/CD environments.
• Improve data processing efficiency and support migrations from on-premises systems to public cloud platforms.
• Collaborate with data architects and analysts to deliver high-quality cloud-based data solutions.
• Ensure data quality, consistency, and performance across AWS services and environments.
• Participate in code reviews and contribute to technical improvements.