Data Engineer

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.

- 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

We have very competitive compensation.

Work on cool projects based on your interests and skills. We believe in accountability and NOT micro-management.

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.

Originally posted on Himalayas