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Vaco: Data Engineer


This is a Contract position in Montreal, QC posted March 31, 2021.

This is an exciting opportunity to join our client’s Innovation and Strategy team at the ground level You will be part of our innovation hub located in downtown Toronto where your desire for impact will only be matched by your innate ability to collaborate with other like-minded individuals to come up with creative solutions to our client’s retail data science problems.Job DescriptionMaintaining, streamlining and hardening existing data pipelines, from ingestion, through ETL and batch processing in order to reliably process billions of records per day.Build data support for our personalization and experimentation efforts, solving problems from statistical test automation to building real-time M/L applications.Working with Analytics and Product Management to ensure optimal data design and efficiency.Assisting Data Analysts and Data Scientists with pipeline and model deploymentUse an analytical, data-driven approach to drive a deep understanding of our fast changing business.Building data models to deliver insightful analytics while ensuring the highest standard in data integrity.Job RequirementsBachelor’s degree in Engineering, Computer Science, Statistics, Economics, Mathematics, Finance or related quantitative field, or equivalent practical experience.Experience and proficiency with SQL and SQL-like languagesMore than 3 years of software engineering experience, especially working on back-end data infrastructure.Proficiency with at least one of the following languages: Java, Python, Scala.Proficiency with Spark and/or similar tools in Hadoop/YARN environment and comfortable with Linux operating system.Ability to creatively solve problems in a fast paced, rapidly changing environmentAbility to navigate ambiguity, drive solutions forward and bring stakeholders along.Strong problem solving, analytical skills and capability of managing multiple projects and reporting simultaneously across different stakeholders.Strong structured thinking and the ability to easily break down complex ambiguous problems and propose impactful data modeling designs.