Data Engineer (AWS)

Capgemini is a global leader partnering with companies to transform and manage their business using technology. It employs over 360,000 team members globally in more than 50 countries and serves various industries with expertise in cloud, data, AI, software, and digital engineering.

• Proven experience in Big Data or Cloud projects involving processing and visualization of large and unstructured datasets across various SDLC phases.
• Hands-on experience with the AWS cloud, including Storage, Compute (Serverless), Networking, and DevOps services.
• 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 programming language: 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.

Capgemini is committed to diversity and inclusion, ensuring fairness in employment practices, evaluating individuals based on qualifications and performance without discrimination.