Design, build, and optimize high-volume, high-performance ELT pipelines for centralized data warehousing
Collaborate with Product Managers, ML Engineers, Data Scientists, and DevOps to define and enforce a reliable, scalable, and secure data platform architecture
Ensure adherence to data warehousing standards, data quality best practices, and metadata management processes
Take ownership of key data warehouse components and drive improvements in performance and reliability
Conduct architecture reviews and participate in system design discussions to provide technical leadership
Mentor and guide junior engineers, fostering a culture of quality and continuous learning

5+ years of professional experience in data engineering, building scalable data systems and pipelines
Expert proficiency in SQL
Strong programming skills in Python
Proven experience in designing, building, and managing large-scale data lakes and warehouses
Solid computer science fundamentals (data structures, algorithms, distributed systems)
Deep understanding of distributed system architecture with a focus on data availability, reliability, and performance
Upper-Intermediate or higher English level
Experience with cloud platforms such as AWS, GCP, or Azure
Knowledge of Spark, Kafka, Airflow, or dbt
Familiarity with BI tools like Tableau or Power BI
Understanding of CI/CD practices for data pipelines
Exposure to machine learning model deployment and monitoring

Senior Data Engineer – Interior Design

Key skills