Data Engineer

Insight Global is seeking a Data Engineer to join a large retail client hybrid in Vancouver BC. On the day to day you will:

A day in the life:
Co-ordinate with multiple data source teams in getting data published to our Finance Data Warehouse
Working with stakeholders including data, design, product, and executive teams, and assisting them with data related and technical issues.
Building Scalable Data Pipelines for generating training datasets for machine learning deliverables
Mentoring Junior resources and drive end to end design, implementation, and delivery of engineering components.
Communicating with and educate both senior and junior colleagues to further embed data science and analytics across the organization.
Strive for continuous improvement of code quality and development practices.
Willingness to adapt to and self-learn new technologies and deliver on them.
Translating business issues to technical terms
Understanding, leveraging, and applying best practices effectively. Also leads by example and comes up with coding standards and best practices for technology.
Collaborating with cross-functional teams business stakeholders, engineers, program management, project management, etc. - to produce the best solutions possible.
Anticipating system/application challenges and proposes solutions for the same.
Contributing to story sizing and work estimates for implementation, validation, delivery, and documentation
Reviewing user stories to ensure a quality user experience, well-defined acceptance criteria and thorough test coverage.
Participating in design and code review to ensure quality and testability of feature code.

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 Human Resources Request Form. The EEOC "Know Your Rights" Poster is available here.

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Requirements:
3-5 years experience working as a data engineer with cloud based systems such as Azure and Snowflake
Experience working with Kafka technologies.
Experience with Real Time Analytics and Real Time Messaging
Expertise in designing data table structures, reports, and queries.
Working knowledge of CI/CD
Working knowledge of building data integrity checks as part of delivery of applications
Experience working with large volume data; retail experience strongly desired.

Plusses:
Working experience with Microservices is desirable.
MS Degree in Computer Science or related technical degree completed.

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.