Data Engineer with AWS

2 weeks ago

Wrocław Kraków Gdańsk Poznan Warszawa, Czech Republic Capgemini Polska Sp. z o.o. Full time
  • You have hands-on experience in data engineering and can independently handle moderately complex tasks.
  • You've worked with PySpark in distributed data processing scenarios.
  • You are familiar with AWS data services such as S3, Glue, EMR, Lambda, Redshift, or similar.
  • Experience working with additional  major cloud platform (Azure, or GCP)
  • You are proficient in Python for ETL and automation tasks.
  • You communicate clearly and confidently in English.

Nice to Have

  • Strong SQL skills and understanding of data modeling.
  • Exposure to CI/CD pipelines, Terraform, or CloudFormation.
  • Familiarity with streaming technologies like Kafka or Kinesis.
  • AWS certifications

Join our growing Insights & Data team — over 400 professionals delivering advanced, data-driven solutions. We specialize in Cloud & Big Data engineering, building scalable data architectures on AWS. We manage the full Software Development Life Cycle (SDLC) using modern frameworks, agile methodologies, and DevOps best practices.

,[Design and build data pipelines using AWS services and PySpark., Process large-scale datasets efficiently and reliably., Collaborate with architects and team members to implement scalable data solutions., Ensure data quality, consistency, and security in cloud environments., Participate in code reviews and contribute to continuous improvement efforts.] Requirements: AWS, PySpark, SQL, CI/CD, Terraform Tools: . Additionally: Private healthcare, Training budget, Free parking, In-house trainings.

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