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Data Engineer for Scalable Solutions

1 semana atrás

Lisboa, Lisboa, Portugal Capgemini Engineering Tempo inteiro

This position involves working with a global team to design and implement scalable data pipelines using AWS services such as Glue, Lambda, Step Functions, and Kinesis.

The ideal candidate will have strong experience as a Data Engineer with expertise in AWS cloud environments, proficiency in Python, SQL, and Spark for data processing and transformation, and hands-on experience with AWS Glue, Redshift, Athena, EMR, S3, and Lambda.

You will collaborate with Data Scientists, AI/ML Engineers, and DevOps teams to support data-driven applications and ensure data integrity, governance, and security through proper IAM policies, encryption, and compliance frameworks.

Responsibilities
  • Design and implement scalable data pipelines using AWS services.
  • Develop and optimize ETL workflows to process large datasets efficiently.
  • Work with structured and unstructured data to enable analytics, AI/ML, and business intelligence use cases.
  • Collaborate with Data Scientists, AI/ML Engineers, and DevOps teams to support data-driven applications.
Requirements
  • Strong experience as a Data Engineer with expertise in AWS cloud environments.
  • Proficiency in Python, SQL, and Spark for data processing and transformation.
  • Hands-on experience with AWS Glue, Redshift, Athena, EMR, S3, and Lambda.
  • Experience with ETL orchestration tools (Step Functions, Airflow, Prefect, Dagster).
  • Familiarity with containerization (Docker, Kubernetes, ECS) and CI/CD pipelines.