Data Warehouse Engineer

Responsibilities

• Design, develop, and maintain scalable data warehouse solutions
• Build and evolve the enterprise data warehouse for advanced analytics and reporting
• Develop and optimize ETL/ELT pipelines for batch and near real-time processing
• Support analytical and machine learning workflows with reliable datasets
• Integrate data from transactional databases, third-party platforms, and external APIs
• Collaborate with data engineers, analysts, and stakeholders to ensure data quality and governance
• Monitor, troubleshoot, and improve data platform performance and scalability
• Evaluate and recommend new technologies and architectural approaches
• Contribute to technical documentation and best practices

Requirements

• 2+ years of professional experience in Data Engineering or Data Warehousing
• Bachelor's degree in Computer Science, Mathematics, Physics, Engineering, or a quantitative discipline
• Strong expertise in SQL, relational database concepts, data modeling, and query optimization
• Experience designing and maintaining data warehouse architectures
• Hands-on experience with columnar databases and performance optimization
• Experience with workflow orchestration tools, preferably Apache Airflow
• Solid programming skills in Python or Java (Python preferred)
• Good understanding of Linux environments and Bash scripting
• Experience with cloud-based data platforms like ClickHouse or StarRocks
• Familiarity with ETL/ELT frameworks and large-scale data processing
• Strong communication skills in English