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SSENSE: Data Engineer – Level 3

SSENSE

This is a Full-time position in Montreal, QC posted February 19, 2021.

Company DescriptionSSENSE, pronounced [es-uhns], is a Montreal-based fashion platform with global reach.

Founded in 2003, SSENSE is pacing the vanguard of directional retail with a mix of luxury, streetwear, and avant-garde labels.

We produce industry-leading original content and take pride in building our own technology solutions and systems from scratch.

Our field of focus has grown beyond that of a typical e-commerce entity as we explore the nexus of content, commerce, and culture.

Currently serving 150 countries, generating an average of 76 million monthly page views, and achieving high double digit annual growth since inception, SSENSE is becoming a cultural protagonist in its own right.Job DescriptionSSENSE is looking for a Data Engineer to join our rapidly growing technology team.

The level 3 Data Engineer 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.ResponsibilitiesProduct DeliveryBuild, 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 analysesUnderstand the high-level product roadmap and immediate features to be developed, contributing to high-level estimation and layout of the development sequencesComplete complex development tasks with minimal guidanceConstantly and actively contribute to pushing code to production with the objective of becoming a main contributorReview Pull RequestsWrite 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 qualityOwnership And AccountabilityBe accountable for code quality and conduct adequate testingReview and contribute to technical documentationKnowledge sharing and coachingJoin SSENSE University (the internal peer learning platform) sessions to ramp up on various technologies and host at least two sessions per yearLead the onboarding of new data engineersArchitectureContribute 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 teamRecruitingParticipate in HR recruiting events, helping to identify and recruit top tech talentQualificationsBachelor’s degree in Computer Science, Engineering, or a related technical fieldA minimum of 3 years of Object Oriented Programming (OOP) and/or functional programming experienceKnowledge of Apache Spark for big data processingKnowledge of Python programming languageKnowledge of the data modelling concepts and ability to define the architecture with minimal guidance to develop a complex microserviceFamiliar with various database systems and able to write complex queries independentlyKnowledge of cloud concepts and the ability to follow instructions to use them with minimal guidanceKnowledge of the AWS services (Glue, Athena, S3, Databricks, etc.) and Apache Airflow, an assetProficiency in GitStrong English written and verbal communication skills, French is an assetSkillsFast learner and detail orientedSolution-oriented mindset and can-do attitude to overcome challengesTeam player with a high sense of accountability and ownershipAbility to thrive in a fast-paced environment and master frequently changing technologies and techniques