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
