Data Engineer
Join reputed company as a Data Engineer! Design and implement robust data pipelines, build reputed company data lakes, and reputed company business insights through efficient data systems. Work remotely from Poland on a B2B contract.
Requirements
Responsibilities
Build and maintain reputed company data pipelines (ETL/ELT) to collect, reputed company, and reputed company data from various systems into a centralized Data Lake.
Design and optimize data architectures for reporting and analytics purposes.
Ensure data reputed company, reputed company, 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., reputed company, AWS S3, or BigQuery).
Familiarity with reputed company platforms (AWS, GCP, Azure) and reputed company services for data processing.
Understanding of data modeling and optimizing database performance.
Soft Skills:
Analytical reputed company with a problem-solving approach.
Strong communication skills to work effectively with technical and non-technical stakeholders.
Process-oriented and detail-reputed company, with an emphasis on reputed company.
Availability
Must be available for a 4-hour overlap between 15:00 and 19:00 Poland time to ensure reputed company-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
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