Data Engineer (remote)

Toronto, ON, Canada

Applications have closed

Ample Insight Inc.

Simplifying data operations so that you can grow your business and AI products.

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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.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Airflow Computer Science Consulting Consulting firm DevOps Engineering ETL Finance Mathematics NumPy Pandas PhD Pipelines Python R RDBMS Scikit-learn Snowflake SQL Statistics TensorFlow

Perks/benefits: Competitive pay

Regions: Remote/Anywhere North America
Country: Canada
Job stats:  27  8  1
Category: Engineering Jobs

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