Data Engineer

Ample Insight Inc.; Toronto; On-site; CAD 80,000 - 120,000; Full time

Job summary

Join a rapidly growing consulting firm in Toronto as a data engineer. Collaborate with an elite team to architect robust data tools and ETL workflows. If you're passionate about data and analytics, and enjoy working on impactful projects, this is the opportunity for you!

Benefits

Competitive compensation

Work on projects based on interests

Flexible work environment

Qualifications

• Hands-on experience with user engagement, social, marketing, or finance data.
• Extensive knowledge of relational databases and designing complex schemas.
• Deep knowledge of performance tuning in ETL jobs and SQL.

Responsibilities

• Architecting ETL workflows and schemas to enhance data tools.
• Producing quality data pipelines to empower data scientists.
• Collaborating on projects to scale engineering and data capabilities.

Skills

Analytics

Critical Thinking

Problem-Solving

Python

SQL

Education

BS in Computer Science

MS or PhD in related fields

Tools

Pandas

Numpy

scikit-learn

TensorFlow

Snowflake

Airflow

DevOps

Job 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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Data Engineer • Toronto, ON, United States