Analytics Engineer

This opportunity will give the successful candidate a chance to share knowledge about best practices with Snowflake and dbt with the team, as well as a chance to build data infrastructure from scratch.

Key Responsibilities:

Build and maintain pipelines to ingest data from Salesforce and various other data sources

Build and maintain dbt models to transform data using Medallion architecture for use by business intelligence tools

Work closely with our Business Intelligence team - monitoring and implementing enhancement requests for the data warehouse to meet the reporting demands of stakeholders

Work collaboratively with team members in different timezones

The successful candidate will also be given the opportunity to develop mentoring skills as we look to expand the team’s skillset to match those of our counterpart US team. As we work collaboratively with team members in different time zones, it is important that the candidate has strong interpersonal skills.

Requirements:

3+ years experience in data engineering

Experience in development of pipelines to ingest and transform data from sources using REST APIs, AWS S3 and Airflow

Experience in building dbt models to transform data using Medallion architecture

Experience in maintaining dimensional data models with Type 2 SCDs and star schemas

Experience in maintaining data warehouses on SQL Server

• Experience working with Snowflake, dbt and Tableau is essential

In accordance with the Employment Equity Act, preference will be given to suitably qualified candidates from designated groups, including persons with disabilities.

"We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.

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