Data Engineer (Python & AWS)

SoftBlue SA is a company with a modern Research and Development Center where innovative solutions in programming and IoT are developed and tested. The role is for a client in the healthcare sector.

Technical Expertise:

• 10+ years of experience in Python programming with strong Software Engineering skills focused on data processing.
• Extensive experience with AWS Cloud, specifically Serverless Architecture and services including AWS Lambda, AWS S3 Tables, and AWS Cognito.
• Proven experience in developing End-to-End (E2E) automated tests using tools such as Boto3 for AWS resource validation.
• Practical knowledge of Data Mesh and Medallion Architecture, along with general data processing and analysis.
• Hands-on experience with Infrastructure as Code (AWS CDK or Terraform) and CI/CD pipelines (GitLab pipelines or GitHub Actions).
• Experience with ETL/ELT solutions, dbt, and GraphQL.

Communication & Soft Skills:

• Minimum B2 level English for daily technical and business communication.
• Excellent communication skills and ability to work in a collaborative, international team.
• Strong commitment to high standards of ethics, quality (Clean Code), and reliable delivery.

Nice to have:

• Experience with Snowflake and SQL.
• Knowledge of Data Vault 2.0 modeling.
• Experience with Databricks.
• Familiarity with Microsoft ecosystem: C# / .Net, T-SQL, SQL Server, and Azure DevOps.
• Experience with Star Schema database modeling.
• Knowledge of Descriptive Statistics.

• Design and build scalable Data Ingestion pipelines within the AWS cloud ecosystem.
• Lead technical delivery and implementation of core platform components, ensuring architectural integrity across the entire data lifecycle.
• Collaborate with Engineering Managers and cross-functional teams across the globe and Poland.
• Drive technical excellence by improving team processes, architecture standards, and engineering best practices.
• Support and consult with stakeholders to ensure successful delivery of high-impact, data-driven solutions.
• Contribute to the growth and maturity of the team’s cloud and data engineering capabilities.