Data Warehouse Engineer

• Analyze, process, and interpret large datasets to generate actionable insights
• Develop and maintain ingestion and transformation processes
• Design data warehouse models

• Commercial experience with cloud-based solutions (at least 1 year)
• Commercial experience with data warehouses (at least 2 years)
• Experience with Snowflake
• Experience with Apache Airflow and Python
• Strong proficiency in SQL, including complex analytical queries and data transformations
• Understanding of the Data Lakehouse approach
• Experience with source version control systems such as Git
• Excellent analytical and problem-solving skills
• A proactive, open-minded approach to challenges and learning new technologies
• Strong communication and collaboration skills
• Experience with dbt and the AWS stack (MWAA, Lambda, SQS, SNS, S3) is a plus
• Experience with data visualization and BI tools such as Power BI or Looker is a plus

• Flexible and remote cooperation options
• International projects with leading global clients
• Travels related to international projects
• Non-corporate atmosphere
• Access to language classes
• Access to knowledge-sharing initiatives
• Access to private healthcare and life insurance
• Access to multisport card