Data Developer - Level 2 (Vancouver, BC)

Vancouver, BC, Canada

Applications have closed

Company Description

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.

Job Description

SSENSE is looking for a Data Developer, Level 2 to join our rapidly growing technology team. The Data Developer, Level 2 will join a squad and deepen their knowledge of scalable data infrastructure and 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

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or relevant technical experience

  • A minimum of 4+ years of Object Oriented Programming (OOP) and/or functional programming experience

  • Hands on experience in Python programming language & PySpark for big data processing, is a must

  • Knowledge of core data modeling practices

  • Experience with AWS ecosystem (eg. S3, Step Functions, DynamoDB, Glue, CloudFormation)

  • Hands on experience with various database systems (relational & non-relational): able to write complex queries independently

  • Experience in building/maintaining code pipelines  using version control, and continuous integration and continuous delivery practices (CICD)

  • Experience in  contributing to a data migration project and owning the customer communication feedback loop, is an asset

  • Knowledge in machine learning model lifecycle (eg. training, tracking, production push), is an asset

  • Previous experience in working on a data lake/data mesh, is an asset

  • Ability to communicate the under the hood workings of practical Apache Spark usage, is an asset

  • Strong English written and verbal communication skills, French is an asset

 

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

Additional Information

WORLD CLASS TECHNOLOGY 

Technology is at the core of everything we do at SSENSE. Driven by an engineering mindset and a problem-solving attitude, we blend fashion with technology to deliver an unparalleled experience to our customers as we build seamless, custom solutions to deliver the SSENSE offering. 

WORLD CLASS TEAM
The SSENSE tech team is responsible for an international 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 been growing at a rate of 2X year-over-year and is doubling once again in 2021 as we expand across Canada, US, and Europe.  

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 / second and 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.

Tags: Agile Architecture AWS Big Data Computer Science Data pipelines DevOps DynamoDB E-commerce Engineering Machine Learning Microservices OOP Pipelines PySpark Python Security Spark Testing

Perks/benefits: Career development Startup environment Team events

Region: North America
Country: Canada
Job stats:  14  2  0
Category: Engineering Jobs

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