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Data Engineer

Role overview

Summary

This role focuses on building and scaling data capabilities for clients, ranging from startups to Fortune 500 companies. You will work within a team of engineers and data scientists to create data tools and pipelines that enhance analytics and empower data scientists.

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, R, TensorFlow, and 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

Responsibilities

  • Produce high quality data tools and pipelines
  • Architect data ETL workflows and schemas
  • Empower data scientists with effective data solutions
  • Utilize critical thinking and problem-solving skills

Key facts

Hard skills

Other skills

  • Critical Thinking
  • Problem Solving

About the company

Ample Insight logo

Ample Insight

  • IT Services & Consulting
  • Startup
  • 11–50
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. Have a quick question or need an experienced consulting advisor for a complex project that has 'been there and done that'​? We have you covered. Contact us today!

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Job description

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.

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