Data Engineer
Summary
Design and maintain scalable data pipelines and data lakes to enable business insights, using tools like Airflow, Python, and cloud data services.
Join our team as a Data Engineer! Design and implement robust data pipelines, build scalable data lakes, and enable business insights through efficient data systems. Work remotely from Poland on a B2B contract.
Responsibilities
- Build and maintain scalable data pipelines (ETL/ELT) to collect, transform, and integrate data from various systems into a centralized Data Lake.
- Design and optimize data architectures for reporting and analytics purposes.
- Ensure data quality, security, and availability across systems.
- Collaborate with analysts and stakeholders to define data requirements and support business intelligence efforts.
- Monitor and troubleshoot data pipelines to ensure smooth operation.
- Stay updated on industry trends and best practices in data engineering.
Hard Skills
- Proven experience in designing and maintaining data pipelines (e.g., Apache Airflow, Talend, or similar tools).
- Strong knowledge of SQL and programming languages such as Python.
- Experience with data lakes and data warehouses (e.g., Snowflake, AWS S3, or BigQuery).
- Familiarity with cloud platforms (AWS, GCP, Azure) and related services for data processing.
- Understanding of data modeling and optimizing database performance.
Soft Skills
- Analytical mindset with a problem-solving approach.
- Strong communication skills to work effectively with technical and non-technical stakeholders.
- Process-oriented and detail-focused, with an emphasis on quality.
Availability
- Must be available for a 4-hour overlap between 15:00 and 19:00 Poland time to ensure real-time collaboration.