Data Engineer

November 10

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Ample Insight

Data Science β€’ Machine Learning β€’ AI β€’ Analytics β€’ Computer Vision

11 - 50

Description

β€’ You will join a world-class team of engineers and data scientists from Facebook, Uber, Amazon and Google. β€’ We are a fast growing consulting firm based in Toronto with clients ranging from leading startups building impactful technologies to Fortune 500 companies looking to scale their engineering and data capabilities. β€’ We are looking for a data engineer who is passionate about analytics and helping companies build and scale data. β€’ You enjoy working with data and are motivated to produce high quality data tools and pipelines that help empower other data scientists. β€’ You are experienced in architecting data ETL workflows and schemas. β€’ Critical thinking and problem-solving skills are essential for this role.

Requirements

β€’ BS (or higher, e.g., MS, or PhD) in Computer Science, Engineering, Math, or Statistics β€’ Hands on experience working with user engagement, social, marketing, and/or finance data β€’ Proficient in Python (i.e. Pandas, Numpy, scikit-learn, etc), R, TensorFlow, amongst other data science related tools and libraries β€’ Extensive experience working on relational databases, designing complex data schemas, and writing SQL queries β€’ Deep knowledge on performance tuning of ETL Jobs, SQL, and databases β€’ Working knowledge of Snowflake β€’ Experience working with Airflow is a strong plus β€’ Devops experiences is a plus

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