Who Can Apply
- Candidates must be legally authorized to work in Canada
Job Description
Insight Global is hiring a Data Engineer to join a large retail client based in Vancouver, BC on a primarily remote basis (1 day per month onsite). This individual will join the Data Enablement squad and play a key role in designing, building, and supporting scalable data pipelines that power analytics and reporting across the business. The role partners closely with product, IT, and analytics stakeholders to translate data needs into reliable, well engineered solutions using the Microsoft stack.
Responsibilities:
• Implementing & supporting team members in building a robust data pipeline from different internal/external sources using Microsoft Stack
• Using Azure BI services creating reusable components for the rapid development of data platform
• Working with multiple IT and Product Owner stakeholders to interpret Data & Analytics needs and priorities from a technical perspective.
• Providing technical design, coding assistance to the team to accomplish the project deliverables as planned/scoped.
• Striving for excellence in every aspect of your job, including but not limited to culture, communication, quality of products, engineering practices, and tools.
• Utilizing agile methodology best practices to deploy tools iteratively.
• Seeking out and identifying opportunities for improvements both within the team and within the department
• Working with the leadership team to set the standards for software engineering practices within the engineering team.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, 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.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/.
Required Skills & Experience
• 3+ years of technical development experience on Microsoft Azure
• Experienced working in an ecommerce data team
• 3+ years of experience in Data Modelling and ETL processes within ERP systems & Modern Analytic platforms: data lake, data warehouse, Datamart, dimensional models.
• Strong exposure to Azure Data factory and Azure Databricks
• Working knowledge to design and develop in Synapse/Snowflake/Redshift
• Create data models including but not limited to conceptual, logical & physical.
• Strong knowledge & experience in writing SQLs & performing optimization of query.
• Complete understanding of ETL or ELT processes with the ability to implement
• End to end solution flow for the requirement, or the business case, using Azure Data factory.
• Experience working with Architects & Functional owners to be able to think through conceptual, logical & physical Data Models
• Ability to create data flow diagrams integrating multiple systems with data platform for product creation.
• Strong SQL knowledge.
- Experience with PII / Sensitive Data
• Experience working in Power Automate
Nice to Have Skills & Experience
- Experience with HR Systems
Benefit packages for this role will start on the 1st 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.