Data Engineering Consultant
| Company | Klick |
|---|---|
| Location | Toronto, ON, Canada |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Mid Level, Senior |
Requirements
- 4-5 years’ of hands-on practical experience with a minimum of 2 years’ of experience in ETL processing to be used for data analysis and modeling.
- Minimum 2 years of working knowledge in Python and SQL is a must.
- Experience working with clickstream data sets and data lakes is a must.
- Ability to gather requirements from non technical stakeholders and clients.
Responsibilities
- Work in a collaborative manner and Interact with other analytic team members, Data Analysts, Project Managers, and Business Analysts to learn project data needs and define project scope.
- Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals (Python and SQL).
- Deep understanding of Google Ads – Campaign Manager, TikTok, Facebook, LinkedIn, expected Nuance to each of those different.
- Maintain enterprise data warehouse (Snowflake preferred but not required).
- Build analytic products in the form of presentations, data outputs, system integrations, business intelligence platforms, and AI outputs.
- Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of code, queries, and data engineering processes (Git Management, SOP creation, Requirement Maintenance).
Preferred Qualifications
- Healthcare experience.
- Post-secondary education in computer science.
- Demonstrate working knowledge in database design and management.