Data Engineer

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. Requirements 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. Highlights Build robust data pipelines, shape data infrastructure, and work remotely with a global team. Flexible B2B contract and opportunities to grow in the field of data engineering. Originally posted on Himalayas