Data Engineer

Posted Yesterday
Hiring Remotely in Toronto, ON, CAN
In-Office or Remote
Mid level
Analytics
The Role
Design, build, and optimize ETL pipelines, data schemas, and data tools to support analytics and data science. Tune SQL and databases for performance and collaborate with teams to scale data infrastructure using Snowflake, Python, and related tools.
Summary Generated by Built In
Company Description

You will join a world-class team of engineers and data scientists from Facebook, Uber, Amazon and Google. 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. 

Job Description

We are looking for a data engineer who is passionate about analytics and helping companies build and scale data. You enjoy working with data and are motivated to produce high quality data tools and pipelines that help empower other data scientists. You are experienced in architecting data ETL workflows and schemas. Critical thinking and problem-solving skills are essential for this role.

Qualifications

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

Additional Information

We have very competitive compensation.

Work on cool projects based on your interests and skills. We believe in accountability and NOT micro-management.

Skills Required

  • BS (or higher) in Computer Science, Engineering, Math, or Statistics
  • Hands on experience working with user engagement, social, marketing, and/or finance data
  • Proficient in Python (Pandas, Numpy, scikit-learn), R, TensorFlow
  • Extensive experience working on relational databases, designing complex data schemas, and writing SQL queries
  • Deep knowledge on performance tuning of ETL jobs, SQL, and databases
  • Working knowledge of Snowflake
  • Experience working with Airflow
  • DevOps experience
  • Strong critical thinking and problem-solving skills
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The Company
HQ: Toronto, Ontario
12 Employees
Year Founded: 2018

What We Do

We are a team of world-class data scientists and software engineers who have helped top companies like Facebook, Google, Uber, Amazon, Microsoft and others solve some of their most difficult engineering problems.

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