Senior Data Engineer

What awaits you

- Develop and maintain medium / complex transformation of data with Python on AWS platform

- Design and implement SQL-based data transformations in Snowflake

- Collaborate with the team to evaluate and implement cloud-based data architecture solutions

- Make part of team wo implement a Reporting Self Service Portal to enhance the data analysis and reporting capabilities of Production data.

- Troubleshoot and optimize data processing workflows

- Contributes to the development of data quality monitoring and alerting mechanisms

- Participate in code reviews and knowledge sharing within the team

- Provide technical documentation and support for the business stakeholders

What should you bring along

- University Degree in Engineering, Computer Science, Business or a related field

- Minimum of 5 - 7 years professional work experience

- Degree in business informatics, information systems, or a related technical field

- Proven experience in data integration, data analysis, or a similar technical role

- Knowledge Python programming skills focused on data transformation (Pandas) and or distributed data processing (PySpark)

- Knowledge and practical experience on Amazon Data Engineering stack (EC2, Lamda, S3, Elastic Container Registry, Step Functions, AWS Glue)

- Experience with API’s focus on ability to design, build, and scale RESTful and/or Graph QL APIs for high performance and availability

- Experience of working with databases like PostgreSQL. NoSQL (DynamoDB)

- Enforce engineering best practices within the team, promoting code quality, testing, and efficient development workflows, CI/CD improvements on AWS cloud

- Basic / medium knowledge on Containerization with Docker, Kubernetes

- Strong communication skills with technical and non-technical audiences

- Basic knowledge of reporting tools like Amazon QuickSight

- Experience as part of an international agile organization with a strong understanding of agile development (work in Jira/Confluence)

- Data modeling and profiling (knowledge about relational and dimensional data models)

- Nice to have skills: Angular (or understanding the basics of web development), Amazon infrastructure capabilities

- Strong verbal, written, presentation, and communication skills in English

- Knowledge of German is an advantage

- Team player, target-oriented, and able to work independently with little instruction

- Flexibility to adapt to new tools, technologies, and evolving business requirements