At a glance
Automatically prepared from the listing. Check the original description for the full requirements.
Jump to the original descriptionResponsibilities
The Data Engineer will design, build, and maintain data pipelines that power KPI Sight’s dashboards and analytics. Much of this role will involve migrating outdated pipelines to a new structure that you design.
Requirements
Candidates should have 2+ years of experience as a data engineer with strong skills in raw SQL and Python. Proficiency in data modelling, data warehousing concepts, and experience with cloud data platforms is also required.
Working hours
40 hours per week
Skills
- Data Engineering
- SQL
- Python
- Data Modelling
- Data Warehousing
- Cloud Platforms
- GCP
- BigQuery
- GCS
- Google Cloud Run
- Postgres
- Data Pipelines
- Analytics
- Attention to Detail
- Best Practices
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Data & Analytics
- Software
Keywords
- Data Engineer
- SAAS
- Analytics
- Car Dealerships
- Data Pipelines
- GCP
- BigQuery
- GCS
- Google Cloud Run
- Prefect
- Python
- Postgres
- Data Modelling
- Data Warehousing
- Cloud Data Platforms
- Attention to Detail
Original job description
Company Description
KPI Sight is a SAAS platform providing analytics services to car dealerships.
Role Description
This is a full time, hybrid Data Engineer role based in Toronto with flexibility to work from home part time.
The Data Engineer will design, build, and maintain data pipelines that power KPI Sight’s dashboards and analytics. Much of this role will involve migrating outdated pipelines to a new structure that you design.
Our current stack is
GCP -> BigQuery, GCS, Google Cloud Run
Prefect
Python
Postgres
Qualifications
2+ years experience as a data engineer
Strong raw SQL + Python
Experience with modern data engineering tools, pipelines, and best practices.
Proficiency in data modelling and data warehousing concepts to design scalable and performant pipelines.
Experience with cloud data platforms and services (e.g., AWS, Azure, or GCP)
Strong attention to detail. It bothers you if Python code isn't type hinted.
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.
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