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

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Build and maintain scalable data pipelines (ETL/ELT) to collect, transform, and integrate data from various systems into a centralized Data Lake.

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Design and optimize data architectures for reporting and analytics purposes.

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Ensure data quality, security, and availability across systems.

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Collaborate with analysts and stakeholders to define data requirements and support business intelligence efforts.

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Monitor and troubleshoot data pipelines to ensure smooth operation.

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Stay updated on industry trends and best practices in data engineering.

Must-Have Requirements
Hard Skills:

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Proven experience in designing and maintaining data pipelines (e.g., Apache Airflow, Talend, or similar tools).

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Strong knowledge of SQL and programming languages such as Python.

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Experience with data lakes and data warehouses (e.g., Snowflake, AWS S3, or BigQuery).

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Familiarity with cloud platforms (AWS, GCP, Azure) and related services for data processing.

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Understanding of data modeling and optimizing database performance.

Soft Skills:

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Analytical mindset with a problem-solving approach.

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Strong communication skills to work effectively with technical and non-technical stakeholders.

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Process-oriented and detail-focused, with an emphasis on quality.

Availability
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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