Data Developer - Level 3

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 Data Developer to join our rapidly growing technology team. They will join a squad and deepen their knowledge of software development and data pipelines. They will break down, with minimal guidance, large tasks into smaller, manageable steps to deliver complex tasks required for well-defined features of the Product roadmap. The ideal candidate will contribute to knowledge dissemination within the organization and participate in the recruiting and onboarding of new employees.

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
• Understand the high-level product roadmap and immediate features to be developed, contributing to high-level estimation and layout of the development sequences
• Complete complex development tasks with minimal guidance
• Constantly and actively contribute to pushing code to production with the objective of becoming a main contributor
• Review Pull Requests
• Write testable, efficient, and reusable code suitable for continuous integration and deployment, that respect best practices and SSENSE development standards 
• Review Unified Modeling Language (UML) diagrams and technical documentation, ensuring its quality

Ownership and accountability

• Be accountable for code quality and conduct adequate testing
• Review and contribute to technical documentation
• Knowledge sharing and coaching
• Join SSENSE University (the internal peer learning platform) sessions to ramp up on various technologies and host at least two sessions per year
• Lead the onboarding of new data engineers

Architecture

• Contribute actively to the design of the solution, challenging other members on technical decisions 
• Help more junior Data Engineers understand the technical design so they can write documentation for the rest of the team

Recruiting

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

• Bachelor’s degree in Computer Science, Engineering, or a related technical field
• A minimum of 3 years of Object Oriented Programming (OOP) and/or functional programming experience
• Knowledge of Apache Spark for big data processing
• Knowledge of Python programming language
• Knowledge of the data modelling concepts and ability to define the architecture with minimal guidance to develop a complex microservice
• Familiar with various database systems and able to write complex queries independently
• Knowledge of cloud concepts and the ability to follow instructions to use them with minimal guidance
• Knowledge of the AWS services (Glue, Athena, S3, Databricks, etc.) and Apache Airflow, an asset
• Proficiency in Git

SKILLS

• Fast learner and detail oriented
• Solution-oriented mindset and can-do attitude to overcome challenges
• Team player with a high sense of accountability and ownership
• 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.