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Data Engineer with AWS & PySpark
  • Warsaw
Data Engineer with AWS & PySpark
Warszawa, Warsaw, Masovian Voivodeship, Polska
Capgemini Polska
5. 9. 2025
Informacje o stanowisku

technologies-expected :


  • PySpark
  • AWS S3
  • AWS Glue
  • AWS EMR
  • AWS Lambda
  • AWS Redshift
  • Python
  • Azure
  • Google Cloud Platform

technologies-optional :


  • SQL
  • Terraform
  • CloudFormation
  • Kafka
  • Kinesis

about-project :


  • 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.

responsibilities :


  • 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-expected :


  • 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.

offered :


  • Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details.
  • Access to over 70 training tracks with certification opportunities (e.g., GenAI, Architects, Google) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings.
  • Practical benefits: private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and 40+ options on our NAIS benefit platform, including Netflix, Spotify or Multisport.

benefits :


  • sharing the costs of sports activities
  • private medical care
  • life insurance
  • no dress code
  • parking space for employees
  • extra social benefits
  • redeployment package
  • employee referral program
  • charity initiatives
  • access to courses e.g. Excel, VBA, RPA, Customer Care
  • unlimited access to Udemy Business
  • free chat/call with a therapist

  • Praca Warszawa
  • Warszawa - Oferty pracy w okolicznych lokalizacjach


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