Data Engineer (Interior Design)
Location: Kyiv, Kyiv city, ua, Remote
Company Description
Are you passionate about building robust, high-performance data platforms? Join us as a Data Engineer and work on an innovative solution in the interior decor industry.
We at Sigma Software create cutting-edge digital products that transform industries, and this project is no exception. You will be part of a team that combines technology and design to deliver a unique visualization experience for customers. Why join us? You’ll work with modern data engineering tools, enjoy professional growth opportunities, and be part of a supportive, knowledge-sharing culture.
CUSTOMER
Our client operates in the interior decor sector, delivering innovative digital solutions that enhance the shopping experience. Their advanced visualization tools allow customers to preview furniture and decor items in realistic settings, helping them make confident purchasing decisions. The company blends technology with design expertise to transform how people shop for their homes.
PROJECT
The project focuses on building a high-performance data platform to support an advanced interior visualization product. This solution enables real-time rendering of home decor items in various styles and environments, powered by robust ELT pipelines and centralized data warehousing. The team works closely with product managers, machine learning engineers, and data scientists to ensure data-driven insights and seamless user experiences.
Job Description
- 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
Qualifications
- 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
Additional Information
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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