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.

Must-Have Requirements

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.