Insight Global is looking for a Data Engineer to join one of Canada's largest retail and wellness companies. The ideal candidates will be joining the Guest Education Center technology team that is focused on supporting and improving technology that supports the guest experience. The Data Engineer will be responsible for building and maintaining ETL pipelines that transfer important customer data with the purpose of creating reports to improve the customer journey.
A day in the life:
Lead development and maintenance of data
science and analytics processes, procedures, and
policies
Lead identification, design, and implementation
of integration, modelling, and orchestration of
complex data using relevant coding language(s)
Act as subject matter expert for data engineering
needs
Create and maintain relevant documentation and
conduct knowledge transfer activities
Pipeline development and integration between Azure, AWS, Snowflake; data transformation (DDL, DML)
We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to
HR@insightglobal.com. The EEOC "Know Your Rights" Poster is available
here.
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:
https://insightglobal.com/workforce-privacy-policy/ .
- Has at least 5 years of experience as a Data Engineer
- Has experience building and maintaining ETL pipelines that connect data sources to Snowflake in an AWS environment
- Has experience with Azure Data Factory and Databricks
- Has experience with SQL
- Has experience with PowerBI
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.