Senior Data Engineer with Astronomer [M/F]
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Must-have:PythonDevOpsData
Machine translation — original language: Polish.Show original
The project involves the development and support of a managed, cloud-based DataOps platform based on Apache Airflow and Astronomer. The person in this position will support clients in designing, configuring, and maintaining data workflows, as well as in integrating Airflow with their existing technological ecosystem. The role combines competencies from the areas of Data Engineering, Platform Engineering, and technical support, with a particular emphasis on the stability and reliability of production environments.
Daily tasks
- Practical support in the area of Airflow configuration, DAG design, scheduling, and troubleshooting.
- Acting as a technical advisor for data engineering teams on the client side, using various technology stacks.
- Assisting clients in integrating Airflow with their existing data ecosystem, e.g., cloud data warehouses, data transformation tools, or Infrastructure as Code solutions.
- Supporting clients during the initial platform implementation and its launch in a production environment.
- Diagnosing complex problems related to Airflow and helping clients develop stable and reliable solutions.
- Collaborating with the internal project owner responsible for managing the scope of work, monitoring status, and conducting meetings.
Requirements
- Min. 6 years of experience in a similar position,
- Very good, practical knowledge of Apache Airflow,
- Good commercial experience in Python,
- Experience working with Astronomer/Astro in a production environment.
- Experience working with platforms or solutions in the field of Data Engineering,
- Experience in diagnosing problems in production environments and distributed systems,
- advanced knowledge of English
Must have: Python, Astronomer, Apache Airflow