
Data Architect with Cloud Expertise
2 days ago
We are looking for a skilled Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, implementing, and maintaining large-scale data processing systems on the AWS platform.
Responsibilities:- Develop and maintain medium to complex data transformations with Python on the AWS platform.
- Design and implement SQL-based data transformations in Snowflake.
- Collaborate with the team to evaluate and implement cloud-based data architecture solutions.
- Contribute 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 business stakeholders.
- University degree in Engineering, Computer Science, Business, or a related field.
- Minimum of 3-5 years of 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 of Python programming skills focused on data transformation (Pandas) and/or distributed data processing (PySpark).
- Knowledge and practical experience on Amazon Data Engineering stack (EC2, Lambda, S3, Elastic Container Registry, Step Functions, AWS Glue).
- Experience with APIs, focusing on the ability to design, build, and scale RESTful and/or Graph QL APIs for high performance and availability.
- Experience of working with databases like PostgreSQL and 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.
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