Senior Data Engineer (Python & AWS)

We are looking for a highly skilled Senior Data Engineer to join our client in the healthcare sector. If you have a deep expertise in Python and AWS, and building scalable Serverless data architectures is where you truly excel, this is the perfect role for you!

Key Responsibilities:

● 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.

Requirements (Must-have):

Technical Expertise:● Python Programming: 10+ years of experience with strong Software Engineering skills focused on data processing.● AWS & Serverless: Extensive experience with AWS Cloud, specifically focusing on Serverless Architecture and services (including AWS Lambda, AWS S3 Tables, and AWS Cognito).● Automated Testing: Proven experience in developing End-to-End (E2E) automated tests to ensure pipeline reliability, utilizing tools such as Boto3 for AWS resource validation.● Data Concepts: Practical knowledge of Data Mesh and Medallion Architecture, along with general data processing and analysis.● DevOps & IaC: Hands-on experience with Infrastructure as Code (AWS CDK or Terraform) and CI/CD pipelines (GitLab pipelines or GitHub Actions).● Modern Tooling: Experience with ETL/ELT solutions, dbt, and GraphQL.

Communication & Soft Skills:● English Language: Minimum B2 level, enabling smooth daily technical and business communication in a global environment.● Collaboration: Excellent communication skills and the ability to thrive in a collaborative, international team.● Standards: A 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 the Microsoft ecosystem: C# / .Net, T-SQL, SQL Server, and Azure DevOps.● Experience with Star Schema database modeling.● Knowledge of Descriptive Statistics.