At DRW, we identify and capture trading and investment opportunities globally$1. .$1
trading • technology • research • négociation • technologie
April 5
🏢 In-office - Montreal
At DRW, we identify and capture trading and investment opportunities globally$1. .$1
trading • technology • research • négociation • technologie
• Our team works on a variety of high-impact machine learning projects across DRW's businesses, and we are looking for a Data Engineer to join us. We work with very large amounts of data and in this role, you will build critical systems to manage and optimize our data workflows. The output of your work will be directly used in all our machine learning experiments and production models and you will have the chance to make great impact to our business. As a member of our team, you will be surrounded by cutting-edge technology and experienced machine learning, data and software professionals providing you with the best possible environment to succeed. You will always have interesting new projects to apply your skill set while also becoming an expert on certain areas.
• A bachelor’s or a master’s degree in computer science, software engineering or equivalent • 3+ years of experience building software systems • Proven track record of working with large datasets (ingesting, cleaning, preprocessing, analyzing and validating data) • Excellent programming and scripting skills (Python, SQL, Go or equivalent) • Experience working with time series structured data or streaming data • Experience with relational databases, time series databases • Strong understanding of software engineering principles and best practices • Strong problem-solving and analytical skills • Excellent communication and collaboration skills • Experience with any of these technologies is an asset: Redis, RabbitMQ, GraphQL, Kafka, ELK, Docker, AMQP
• Recognized as one of Canada’s Best Employers for the past 8 years • Committed to continuous learning & development • Industry leading benefits package and perks • Focused on employee well-being and work-life balance • Community initiatives, volunteer program and opportunities for giving back
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