Data Engineer (AWS)
Capgemini Polska
Усі вакансії
Гібридно
Mid
Poznań
Wrocław
Warszawa
Kraków
+1
Діє до 4 жов 2026
14 днів тому
Коротко
Data Engineer (AWS) role in Poznań. Responsibilities include processing large datasets on AWS, optimizing DWH/Big Data solutions, and collaborating with teams. Requires AWS experience, Big Data/Cloud project background, and Python/Scala/Java/Bash. Hybrid work model.
Стислий виклад підготував ШІ на основі тексту оголошення.
Technologies we use
About the project
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.
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.
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
| Опубліковано | 2026-09-04 |
| Джерело |
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Hexjobs App
Інструменти, налаштовані під цю вакансію.
Залишилось 16 днів
04.10.2026
Hexjobs App
Інструменти, налаштовані під цю вакансію.
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