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 responsibility for assigned data warehouse components, contributing to enhancements in performance and reliability
• Conduct architecture reviews and participate in system design discussions to provide technical input
• Support and collaborate with peers, sharing knowledge and promoting a culture of quality and continuous learning

• At least 3-4 years of experience in data engineering, building scalable data systems and pipelines
• Strong SQL skills
• Working proficiency in Python
• Experience building or maintaining data pipelines and working with a data warehouse or analytics stack
• Strong computer science fundamentals
• Knowledge of system architecture with emphasis on reliability, availability, and performance
• Focus on delivering production-ready solutions
• Attention to detail and commitment to data quality
• Clear communication skills
• Comfortable working in a fast-paced, evolving environment
• Upper-Intermediate level of spoken and written English

PERSONAL PROFILE

• Proactive and detail-oriented approach
• Ability to take ownership of complex data systems
• Passion for data quality and continuous improvement
• Strong mentoring and collaboration skills
• Adaptability in fast-paced project environments