13 days ago
Wrocław, Poland +3 moreMid Level
Responsibilities
- Design and implement large-scale and unstructured data processing solutions using data mesh, data lake, or streaming architectures.
- Develop, optimize, and test data warehouse and big data solutions 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.
Requirements
- Proven experience in big data or cloud projects involving large and unstructured datasets across multiple SDLC phases.
- Hands-on experience with AWS storage, compute, serverless, networking, and DevOps services.
- Solid understanding of AWS services, ideally supported by relevant certifications.
- 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; German language skills are advantageous.
- Experience with orchestration tools such as Airflow or Prefect is a plus.
- Exposure to CI/CD pipelines, DevOps practices, streaming technologies, Snowflake, or Databricks is a plus.
- Relevant AWS, data engineering, or big data certifications are advantageous.
Benefits
- Yearly financial bonus, private medical care through Medicover, preferential access to additional medical packages, life insurance, and the NAIS benefits platform.
- Access to more than 70 training tracks and certification opportunities through NEXT, plus Education First, Pluralsight, TED Talks, Coursera, and Udemy Business resources.
- Hybrid working model after onboarding, with office and home-working options.
- Home-office package including a laptop, monitor, and chair.
Tech Stack
Amazon RedshiftApache AirflowApache KafkaApache SparkAWSBashDatabricksDockerJavaPythonScalaSnowflakeTerraform
Categories
Data Engineering
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.