Senior Data Engineer (Interior Design)

• 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

WOULD BE A PLUS

• 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

PERSONAL PROFILE

• Analytical thinker with strong problem-solving skills
• Detail-oriented and committed to delivering high-quality results
• Collaborative team player with excellent communication skills
• Adaptable to changing priorities and requirements
• Proactive and self-motivated with a leadership mindset