Data engineering advisor developing scalable data platforms and pipelines for Desjardins. Designing, integrating, and improving data systems aligned with business needs.
About the role
- Data Engineer joining a consulting firm in Toronto with world-class team of engineers. Producing high quality data tools and pipelines while collaborating with leading companies.
Responsibilities
- Join a world-class team of engineers and data scientists
- Work with clients ranging from leading startups to Fortune 500 companies
- Produce high quality data tools and pipelines
- Architect data ETL workflows and schemas
- Apply critical thinking and problem-solving skills
Requirements
- 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
Benefits
- Very competitive compensation
- Work on cool projects based on your interests and skills
- Accountability and NOT micro-management
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