Senior AWS Data Engineer
Posted Updated 1
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Summary
Senior data engineer designing and building ETL pipelines and data workflows on AWS: Python/pandas, AWS Glue, Athena, DynamoDB, Step Functions and Lambda, working in agile teams with tools like Azure DevOps. 5-10 years of data engineering experience required; Veeva and pharma/healthcare data exposure are a plus.
Offer:
- Private medical care
- Co-financing for the sports card
- Constant support of dedicated consultant
- Employee referral program
- 5-10 years of data engineering experience with global or regional project exposure
- Advanced Python programming expertise, with particular strength in pandas for data manipulation and analysis; Object-oriented programming (OOP) principles and design patterns; Modern Python development tools and best practices
- AWS cloud technologies experience, specifically: AWS Glue for ETL processes, Amazon Athena for data querying Information Sensitivity: General\Internal, DynamoDB for NoSQL data storage, AWS Step Functions and Lambda for workflow orchestration
- Strong understanding of cloud architectures, particularly AWS-based solutions
- Experience with agile software development methodologies and common project management tools (e.g., Azure DevOps)
Nice to have:
- Basic knowledge of Veeva platforms
- Experience with modern software engineering practices including CI/CD, version control, and automated testing
- Background in pharmaceutical or healthcare data environments