Sigma Software
interior decor
DataEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Data Engineer at Sigma Software. Skills: data engineering, scalable data systems and pipelines, SQL, Python, data warehouse or analytics stack, system architecture. Design, build, and optimize high-volume, high-performance ELT pipelines for centralized data warehousing. Ensure adherence to data warehousing standards, data quality best practices, and metadata management processes”
What You'll Achieve.
delivering a unique visualization experience for customers; data-driven insights; seamless user experiences; high-performance ELT pipelines for centralized data warehousing; reliable, scalable, and secure data platform architecture; enhancements in performance and reliability
Industry & Context.
What They're Looking For.
Must Have
3-4 years of experience in data engineering, building scalable data systems and pipelines, SQL skills, Working proficiency in Python, Experience building or maintaining data pipelines, working with a data warehouse or analytics stack, 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
Nice to Have
mentoring and collaboration skills, Adaptability in fast-paced project environments
What You'll Do.
and optimize high-volume
high-performance ELT pipelines for centralized data warehousing
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
How You'll Work.
Team & Collaboration
Collaborate with Product Managers, ML Engineers, Data Scientists, and DevOps to define and enforce a reliable, scalable, and secure data platform architecture; Support and collaborate with peers, sharing knowledge and promoting a culture of quality and continuous learning
Communication Scope
Clear communication skills; Upper-Intermediate level of spoken and written English
Full Job 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. * 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 provi
Applying for this Data Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on SmartRecruiters
- SmartRecruiters often includes a video screening step — check camera and mic permissions.
- Link your GitHub or portfolio directly in the profile section for technical roles.
- Applications may be reviewed by AI scoring before reaching a recruiter — use keywords from the job description.
ANONYMOUS · UNFILTERED
What do employees actually say about Sigma Software?
Real rants from real employees. Read before you apply.