• Design, develop, and maintain ETL/ELT processes and data pipelines
• Build and support Data Warehouse (DWH), Data Lake, and Lakehouse solutions
• Automate and orchestrate workflows using Airflow and dbt
• Ensure data quality, consistency, and integrity across platforms
• Optimize SQL queries and large-scale data processing performance
• Prepare datasets and data marts for Analytics, BI, and ML teams
• Monitor, troubleshoot, and improve data platform reliability
• Collaborate closely with Product, Analytics, Engineering, and business stakeholders

Hard skills

• 2–4 years of experience as a Data Engineer, ETL Developer, DWH Engineer, or similar role
• Strong SQL knowledge (complex queries, CTEs, window functions, optimization)
• Solid Python skills for data processing and ETL development
• Hands-on experience with Airflow or similar orchestration tools
• Experience building and maintaining Data Warehouses
• Understanding of data modeling principles (Star/Snowflake schemas, normalization)
• Experience with dbt and ELT approaches
• Knowledge of Git and software development best practices

• Strong analytical and problem-solving mindset
• Clear and transparent communication skills
• Proactive and result-oriented attitude
• Adaptability and willingness to work in a fast-changing environment
• Ability to collaborate effectively with cross-functional teams