Full Stack Data Engineer

Full Stack Data Engineer

Remote/Telecommute JobREMOTE / Toronto, Ontario, Canada -Permanent
This job allows you to work remotely


Job Description

Our Client is the world's leading SaaS platform for micromobility, enabling businesses around the globe to launch, manage and grow their own branded fleets of bikes, scooters, mopeds, and everything else smaller than a car. We are passionate about transportation and changing the way people think about community connectivity. You'll get to work with a motivated and driven team to find creative solutions to exciting challenges in a rapidly evolving, fast-paced industry.

As Full Stack Data Engineer, you will be the founding member of the Data Engineering team. you will work closely with the Backend Engineering team, providing guidance and strategy on what data to store and ensure its accessibility. From there build machine learning models and productize, deploy, maintain, and monitor said ML models running behind their product.

Duties / Responsibilities:

Building, maintaining, configuring, and deploying ETL systems
Building CI/CD workflows for deploying production ML models
Building ML Models and hardening ML models/services for production environments
Setup infrastructure alerts, monitors, and logging
Efficiently scaling ML model services
Build scalable efficient Data Pipelines
Lead long term Data Strategy


Must Have Skills:

● Bachelors Degree in Computer Science / Engineering with an interest in Data Engineering and Machine Learning
● 3 5 years of Data Engineering / Data Science experience using python
● Strong ML and statistics background
● 2+ years of software development experience
● Experience working in a startup environment
● Mastery of one or more of the following: Python, Java/Scala, C, C++, GoLang, Node.js
● Experience with Big Data Technologies, such as: Hadoop, Spark, Pyspark, kafka, redis, etc.
● Familiarity with either AWS or Azure


Nice to Have Skills:

● Strong verbal and written communication skills.
● Resourceful, flexible, and adaptable.
● Able to work well under pressure and respond to multiple fast-changing priorities.
● Entrepreneurial mindset and comfortable in a flat organization.


Details:

Starting: ASAP
Travel: 0
Dress Code: Casual







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