Data Engineer
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Before you apply
LocationToronto, ON, ca
Work moderemote · Canada
Typefull-time
Company size8+ people
PostedJan 27, 2025 · 1y ago
Verified live12h ago
May no longer be actively hiring
Posted by the company on Jan 27, 202563% of this company's open roles have been listed for 90+ days
At a glanceSummarised by Seekless from the posting.
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
Skills
Python
Pandas
NumPy
scikit-learn
R
TensorFlow
SQL
Snowflake
Airflow
DevOps
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
Benefits
We have very competitive compensation.
Work on cool projects based on your interests and skills. We believe in accountability and NOT micro-management.