Apply on Kit Job: kitjob.ca/job/2fsid7

Responsibilities:

As a Senior Analytics Engineer, you will transform this wealth of data into trusted, well-modeled datasets that power analytics, reporting, and data science initiatives across the organization.

What You’ll Do

- Design and implement robust dimensional and relational data models.
- Build and maintain scalable dbt transformation pipelines.
- Own transformation and modeling of curated (Silver/Gold) datasets.
- Collaborate with analysts, product analytics, data scientists, and stakeholders.
- Implement data quality tests, monitoring, SLAs, and alerting.
- Partner with Data Engineers to define and enforce data contracts.
- Follow analytics engineering best practices (version control, testing, documentation).
- Empower self-service analytics with intuitive, well-documented data marts.

What We’re Looking For

- 5+ years in analytics engineering, data modeling, or similar roles.
- Expert-level SQL skills (optimization & performance tuning).




- Extensive dbt experience (testing, documentation, package management).
- Strong Python programming skills.
- Deep understanding of dimensional modeling (star schemas, one big table).
- Experience with cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks).
- Familiarity with Airflow and orchestration frameworks.
- Experience with Git and CI/CD for analytics code.
- Robust business acumen and ability to translate requirements into data models.
- Knowledge of data governance, privacy, compliance (GDPR, CCPA, SOX).
- Familiarity with BI tools (Tableau, Looker, Mode).
- Strong ownership mindset and communication skills.
- Dedication to data quality, documentation, and enabling self-service analytics.
- Bachelor’s Degree in a technical field, or equivalent experience.

Apply on Kit Job: kitjob.ca/job/2fsid7

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