BranchFactor Summary

The original posting with the fluff stripped out

Management level: Individual contributor
Employment: Remote
Contract: Full-time

Compensation

No salary listed for this role.

Role speciality

Data AnalyticsData EngineeringEtl

Useful technologies

AirflowNumPypandasPythonRscikit-learnSnowflakeSQLTensorFlow

Original posting

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.

What pay is competitive? →Which skills are in demand for this role? →

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