Data Engineer (Interior Design)

About the role

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

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Company Intel

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