Senior Software Developer, Ads at Leap Tools

, , Canada -

Full Time

Start Date

Immediate

Expiry Date

19 Apr, 26

Salary

0.0

Posted On

19 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Warehousing, SQL, Python, Data Modeling, Data Governance, Performance Optimization, Data Quality, Metadata Management, Technical Leadership, Collaboration, Mentorship, Distributed Systems, Computer Vision, AWS, Kubernetes

Industry

Software Development

Description

At Leap Tools, we are building the world's most advanced solutions for the interior décor industry. With customers in 80+ countries, our clientele includes Fortune 500 companies such as Home Depot, local retailers such as Alexanian's, and everything in between. We have been recognized as one of the fastest-growing tech companies by Deloitte for multiple years in a row, and we are looking for ambitious challenge-seekers to fuel our momentum and help us create an iconic global tech company. About our Product Our technology lets you see products in your own room before you buy. Imagine you want to redesign your home and have been searching for new tiles for your kitchen or a new rug for your living room. You definitely want to make sure it will look good in your space. We enable this through cutting-edge computer vision technology, presented in an extraordinarily simple and accessible way. Try our rug demo now! Simply upload a picture of your room using your mobile phone and slide the rug under your coffee table: https://www.roomvo.com/rugdemo4r About you You are a seasoned Data Engineer with a passion for designing and implementing enterprise-scale data warehouses and pipelines that power data-driven decisions. You thrive on solving complex problems related to data modeling, governance, and performance, ensuring data is accessible and reliable for our users and internal stakeholders. You enjoy setting the technical bar high for data quality and scalability, and you are ready to lead the charge. You excel at translating business needs into robust, secure, and scalable data solutions. You want to leverage your experience to make a significant impact on our entire data ecosystem. Join us, and you will work closely with our talented engineering, ML, and product teams to define and execute our long-term data strategy. About our stack Python, Django, Kubernetes, PostgreSQL, dbt, Redshift, AWS What you’ll do Design, build, and optimize high-volume, high-performance ELT pipelines to load data into our centralized data warehouse. This data will be modelled for performance and will serve as the single source of truth for customer analytics reporting, business intelligence dashboards, and benchmarking. Collaborate closely with Product, ML Engineers, Data Scientists, and DevOps to define and enforce a reliable, scalable, and secure data platform architecture, paying special attention to data warehousing standards, data quality, and metadata management within the warehouse environment. Take ownership of key data warehouse components, driving their initial development, deployment, operational monitoring, and continuous improvement to ensure maximum availability and performance for downstream consumers. Provide technical leadership through data architecture reviews, system design discussions, and improving team processes and data engineering best practices. Leverage your knowledge and expertise to help shape our engineering and data-driven culture. Unblock, support, and communicate with internal and external partners to achieve results, with a focus on data accessibility and usability. Help us build a strong team through mentorship and by participating in the hiring process. Requirements 5+ years of professional data engineering experience building scalable data systems and pipelines. Expert proficiency in SQL and strong coding skills in Python. Deep, hands-on experience with Data Warehousing design, building and managing large data lakes and warehouses. Strong computer science fundamentals, particularly in data structures, algorithms, and distributed systems, based on a degree in Computer Science or distinctive work experience. Solid understanding of distributed system architecture, focusing on data availability, reliability and performance. Strong focus on execution and delivery of the product Exceptional attention to detail and focus on quality and long-term goals Strong communication skills A demonstrated ability to provide guidance, mentorship, and support A leadership mindset. You take initiative, make decisions and deliver results consistently. Comfortable working in a fast-paced, evolving environment where learning and adaptability are key. Familiarity with the stack is strongly preferred but not required. About our culture We're a remote-first company that encourages our employees to work from where they're most productive. We work in tight-knit teams to cultivate an ownership mentality. We cherish curiosity and an obsession for details because we know these details are invaluable over the long run. We're hyper-focused on our achievements and our ability to execute our promises. We act with urgency. Work anywhere in the world for up to 3 months! We value families, by offering a parental leave program We offer a work-from-home stipend Your birthday (and our company's birthday) is a day off! About our hiring process You upload your resume and complete a brief questionnaire. Three rounds of technical assessment. Culture fit assessment. Final interview with leadership. Offer Take the Leap. Apply now. Our demo, in case you missed it: https://www.roomvo.com/rugdemo4r

Responsibilities

Design, build, and optimize high-volume ELT pipelines for a centralized data warehouse. Collaborate with various teams to ensure a reliable and scalable data platform architecture.