Data Engineer
Ample Insight Inc.almost 2 years ago
Remote, Canada or Toronto, CanadaSenior
Responsibilities
- Build and scale high-quality data tools and pipelines that empower data scientists.
- Architect data ETL workflows and complex relational database schemas.
- Write and optimize SQL queries and tune the performance of ETL jobs and databases.
- Work with user engagement, social, marketing, and finance data.
- Support data and engineering projects for startup and Fortune 500 clients.
Requirements
- Bachelor of Science or higher degree, such as a Master of Science or PhD, in Computer Science, Engineering, Math, or Statistics.
- Hands-on experience working with user engagement, social, marketing, and/or finance data.
- Proficiency in Python, Pandas, NumPy, scikit-learn, R, TensorFlow, and related data science tools and libraries.
- Extensive experience with relational databases, complex data schemas, and SQL queries.
- Deep knowledge of performance tuning for ETL jobs, SQL, and databases.
- Working knowledge of Snowflake.
- Airflow experience is a strong plus.
- DevOps experience is a plus.
Benefits
- Competitive compensation.
- Opportunities to work on projects based on interests and skills.
- Accountability-focused environment without micromanagement.
- Opportunity to join an experienced engineering and data science team.
- Toronto-based consulting role serving startup and Fortune 500 clients.
Categories
Data Engineering
About Ample Insight Inc.
Ample Insight is a Toronto-based data science and engineering consultancy that builds machine learning, analytics, and data infrastructure for software companies and enterprises. Founded in 2018 and privately held, it delivers projects spanning ML models, computer vision, data governance, and MVP development, and supports embedding AI features into existing SaaS products. Revenue comes from consulting engagements and advisory services.