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Capgemini

Global consulting, technology services, outsourcing

Data Engineer - AWS

Data EngineeringUpdated on Nov 10
Full-time

About the Job

Requirements

  • Proven experience in Big Data or cloud projects involving processing and visualization of large and unstructured datasets across various phases of the Software Development Life Cycle.
  • Hands-on experience with AWS cloud services, including storage, compute (including serverless), networking, and DevOps services.
  • Solid understanding of AWS services.
  • Familiarity with several of Glue, Redshift, Lambda, Athena, S3, Snowflake, Docker, Terraform, CloudFormation, Kafka, Airflow, and Spark.
  • Basic proficiency in at least one of Python, Scala, Java, or Bash.
  • Very good command of English.

Responsibilities

  • Design and implement solutions for processing large-scale and unstructured datasets using Data Mesh, Data Lake, or streaming architectures.
  • Develop, optimize, and test modern data warehouse and Big Data solutions based on AWS 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.

Desired Qualifications

  • German language skills.
  • Experience with orchestration tools such as Airflow or Prefect.
  • Exposure to CI/CD pipelines and DevOps practices.
  • Knowledge of streaming technologies such as Kafka or Spark Streaming.
  • Experience working with Snowflake or Databricks in a production or development environment.
  • Relevant certifications in AWS, data engineering, or Big Data technologies.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1967

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