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

Data Engineer (Interior Design) at Sigma Software