Data Engineer (Regular) | Aerospace Industry | 3-Month Project | ASAP Start
Summary
Designs and maintains data pipelines for aerospace industry projects using Databricks, Spark, and Azure PaaS, processing large data volumes with Python and SQL.
Your responsibilities:
- Designing, developing, and maintaining data pipelines
- Building and optimizing ETL processes
- Processing and transforming large volumes of data
- Working with Databricks and Spark-based solutions
- Developing data processing scripts in Python
- Collaborating with technical and business teams
- Ensuring data quality and performance of the data platform
Tech stack:
- Azure PaaS (Data Factory, SQL Database, Data Services)
- Databricks
- Spark
- Python
- SQL
- ETL
Requirements:
- Good knowledge of SQL
- Experience with Python programming
- Experience as a Data Engineer in data-focused projects
- Experience with Databricks
- Experience with Spark
- Understanding of Big Data processing tools and standards
- Experience with Azure data services will be an advantage
- Polish and English language skills at B2/C1 level
We will contact selected candidates only.