Data Engineer with Airflow

Responsibilities:

• Participate in the migration process from Tableau Prep to Airflow, ensuring a seamless and efficient transition
• Develop, maintain, and optimize data pipelines and workflows using Python and Airflow
• Write and optimize complex SQL queries for large datasets, including joins and window functions, to support data transformation and reporting needs
• Collaborate closely with data engineers and analysts in a Kanban environment to ensure the quality and reliability of data solutions
• Ensure proper documentation of data workflows, processes, and pipelines to facilitate team collaboration and maintenance
• Troubleshoot and resolve issues related to data workflows, pipelines, and integrations
• Implement best practices for data management, pipeline optimization, and performance tuning

Requirements:

• Proficiency in Python with a strong focus on data engineering workflows
• Advanced knowledge of SQL, including experience with large joins and window functions
• Hands-on experience with Airflow for orchestrating workflows and data pipelines
• English proficiency at C1 or higher for effective communication in an international team
• Ability to perform live coding during the recruitment process (Python and SQL)
• Experience working with Snowflake or similar cloud-based data warehouses
• Familiarity with DBT (Data Build Tool) for transforming data in warehouses
• Experience with AWS S3 or other cloud storage solutions

Offer:

• Private medical care
• Co-financing for the sports card
• Training & learning opportunities
• Constant support of dedicated consultant
• Employee referral program