Data Engineer (AWS)

Our requirements

• Proven experience in Big Data or Cloud projects involving processing and visualization of large and unstructured datasets, across various phases of the SDLC.
• Hands-on experience with the AWS cloud, including Storage, Compute (and 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 of the following programming languages: Python, Scala, Java, or Bash.
• Very good command of English (German language skills would be an advantage).

Optional

• 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 a production or development environment.
• Relevant certifications in AWS, data engineering, or big data technologies.

Your responsibilities

• 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.

About the project

What we offer

• Practical benefits: yearly financial bonus, private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and access to NAIS benefit platform.
• Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) 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.
• Cutting-Edge Technology: Position yourself at the forefront of IT innovation, working with the latest technologies and platforms. Capgemini partners with top global enterprises, including 145 Fortune 500 companies.
• 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.

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

Recruitment stages

• 1.
  Interview with the recruiter
• 2.
  Competency Tests/Language Verification
• 3.
  Video call with a manager
• 4.
  Final Decision

Capgemini Polska