Task information:

• Organize and structure raw data into a functional centralized data warehouse from various formats and databases.
• Develop and maintain data pipelines and ETL/ELT processes.
• Ensure data integrity and optimize workflows.
• Build and manage CI/CD pipelines.
• Implement real-time data streaming and monitoring.
• Collaborate with stakeholders and provide technical support.

Requirements:

• Solid experience in Data Engineering (3+ years).
• Strong Python, SQL, Docker skills.
• Very good familiarity with data warehousing and its infrastructure.
• Experience with ETL/ELT, Airflow, Git, and data warehousing.
• Self-management and ability to meet sprint goals.

Company offers:

• Private health insurance.
• Flexible hybrid work environment.
• Ownership of data processes.
• Professional growth in a collaborative environment.

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Contacts

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Confidentiality guaranteed. Only selected candidates will be informed.