Responsibilities and Qualifications
* 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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