Senior Data Developer

This is a remote role, employees are welcome to work near any of our principal location hubs: Toronto, Montreal, Vancouver, Dallas and NYC.

SSENSE (pronounced [es-uhns]) is a global technology platform operating at the intersection of culture, community, and commerce. Headquartered in Montreal, it features a mix of established and emerging luxury brands across womenswear, menswear, kidswear, and Everything Else. 

SSENSE has garnered critical acclaim as both an e-commerce engine and a producer of cultural content, generating an average of 100 million monthly page views. Approximately 80% of its audience is between the ages of 18 to 40. It is privately held and has achieved high double digit annual growth and profitability since its inception.

SSENSE is looking for a Senior Data Developer to join our rapidly growing technology team. The Senior Data Developer will take complex product roadmap features, break them down into their required technical components, and develop them independently. They own at least one component of the SSENSE technical stack and hold accountability for its SLAs. The ideal candidate will actively contribute to knowledge dissemination within the organization, participate in the recruiting and onboarding of new employees, and mentor Junior Developers on the team.

RESPONSIBILITIES

• Product delivery
• Build, test and operate stable, scalable data pipelines that cleanse, structure and integrate disparate data sets into a readable and accessible format for end-user facing reports, data sciences and ad-hoc analyses
• Develop a deep understanding of the product roadmap for the squad, including future features to be developed
• Contribute to high-level estimation and participate in laying out the development sequences, challenging the product roadmap and identifying areas where technical debt can be reduced or avoided
• Complete independently complex development tasks and actively contribute to pushing code to production
• Write testable, efficient, and reusable code suitable for continuous integration and deployment, respecting best practices and SSENSE development standards
• Review Unified Modeling Language (UML) diagrams and technical documentation

Ownership and accountability

• Be accountable for code quality by conducting adequate testing
• Be accountable for performance, reliability, scalability and resilience of at least one technical component owned by the squad through SLAs and monitoring
• Solve complex technical problems and mentor/support other technical staff on data modelling and ETL related issues
• Contribute to cross-squad initiatives, acting as a change agent amongst peers to foster adoption of new processes or technical solutions

Knowledge sharing and coaching

• Review Pull Requests to guide and upskill other Data Engineers on various technical topics
• Actively contribute to SSENSE University (the internal peer learning platform) to promote continuous learning
• Participate in the onboarding of new Data Engineers

Architecture

• Contribute to solution designs, challenging other members on technical decisions and explaining the technical design to junior developers so they can write documentation for the rest of the team

Recruiting

• Participate in HR recruiting events, helping to identify and recruit top developers

• Bachelor’s degree in Computer Science, Engineering, or a related technical field, Master’s degree an asset
• A minimum of 5 years of Functional Programming and/or Object Oriented Programming (OOP) experience
• A minimum of 3 years experience writing and optimizing SQL queries
• A minimum of 3 years experience with Apache Spark for big data processing
• Extensive knowledge of Python programming language and its data manipulation libraries (Pandas and Numpy)
• Expertise in data modeling and an advanced understanding of data architecture
• Expertise with RDBMS and NoSQL databases at scale
• Experience with Apache Airflow or other similar data pipelining and workflow scheduling framework (Luigi, Azkaban)
• Ability to use containers, orchestration frameworks, and other DevOps tools (Kubernetes, Terraform, Giant Swarm, etc.)
• Proficiency with cloud resources (AWS/Google Cloud/Azure) with the ability to operate them for the components owned. Certification is an asset.
• Knowledge of the AWS services (Redshift, Glue, Athena, S3, etc.) an asset
• Knowledge of big data technology (Databricks, Hadoop, Hive, Pig, Presto) an asset
• Familiarity with continuous integration and automated pipeline tools (Jenkins, Travis, etc.)
• Proficiency in Git

SKILLS

• Highly analytical and detail-oriented
• Ability to coach and mentor junior employees to achieve personal and professional goals
• Team player with a high sense of accountability and ownership
• Ability to influence and drive change
• Solution-oriented mindset and can-do attitude to overcome challenges
• Ability to thrive in a fast-paced environment and master frequently changing technologies and techniques

WORLD CLASS TECHNOLOGY 

SSENSE is a global technology platform operating at the intersection of culture, community, and commerce. Technology is at the core of everything we do at SSENSE. Driven by an engineering mindset and a problem-solving attitude, we build seamless, custom solutions to deliver the SSENSE offering to our international clientele. 
 

WORLD CLASS TEAM
The SSENSE tech team is responsible for a global headless commerce platform. Working in an agile environment, our squads are made up of experienced innovators in Product Management, QA, Design, DevOps, Software Development, Machine Learning, Data Engineering, and Security. Headquartered in Montreal, our technology organization has doubled year-over-year and will grow exponentially in 2021 as we expand across Canada, US, and Europe. 

Our team delivers on advanced technology disciplines such as deep neural networks, serverless, and robotic automation while leveraging leading partners such as AWS, SAP, and Dematic, with the cutting edge technology network of Sequoia Capital.
 

WORLD CLASS PLATFORM 

The SSENSE platform runs on Amazon Web Services making use of serverless microservices across web, mobile and app. Our event-source architecture already achieves over 10,000 requests per second and is growing at an unmatched pace, currently unseen across the industry. Our data-driven culture of innovation empowers every product team across the tech organization to explore building, testing and learning with the latest in Machine Learning techniques. Our automated continuous improvement DevOps model (making use of both blue / green and canary deployments) results in an average of 50 production releases every day.  

Read more about us on our SSENSE Tech Blog.