DWH Engineer

• Develop and maintain DWH and Data Lake solutions aligned with business requirements
• Build, optimize, and support ETL/ELT pipelines using Python, SQL, Airflow, and related technologies
• Integrate and maintain data flows from APIs, databases, SaaS platforms, and third-party systems
• Work with Trino and cloud-based analytical platforms to support reporting and analytics needs
• Implement and support incremental loading, CDC processes, backfills, and reprocessing workflows
• Monitor, troubleshoot, and improve data pipelines for reliability, stability, and timely data delivery
• Implement data quality checks, validation rules, and automated monitoring processes
• Optimize SQL queries, data models, and pipeline performance
• Collaborate with analysts, BI developers, engineers, and business stakeholders on scalable data solutions
• Participate in code reviews and contribute to engineering standards and best practices

• Strong SQL skills, including complex queries, CTEs, window functions, analytical queries, and query optimization (2+ years)
• Strong experience integrating external data sources, including REST APIs, databases, SaaS platforms, and third-party systems
• Experience with Apache Airflow (2+ years)
• Experience with Python for data processing, integrations, and automation (2+ years)
• Good understanding of DWH concepts, including ETL/ELT, dimensional modeling, Data Vault, and Star/Snowflake schemas (2+ years)
• Experience building and supporting production data pipelines with a focus on reliability, stability, monitoring, and error handling
• Understanding of data quality principles, including validation, testing, reconciliation, and monitoring
• Experience with Git

• Flexible payment options: choose the method that works best for you
• Bonuses for holidays, B-day, work milestones and more
• Courses and certifications covered
• Opportunities to grow your career
• Benefit cafeteria including sports, language courses, therapy sessions, and more
• Team-building events and industry conferences, online and offline
• New laptops and essential peripherals such as monitors and headphones
• Flexible start time at 9, 10, or 11