Job Responsibilities:
· Design quality technical solutions to meet client business objectives.
· Developing and testing data models to capture clients KPIs and data transformations.
· Working with our stakeholders to develop end-to-end Cloud-based solutions with a heavy focus on applications and data.
· Contribution to the vision, understanding our product roadmap, integrating business value with experience, and contributing towards building an engineering culture within the team.
· Delivering highly reliable software and data pipelines using automation, version control, continuous integration, testing, and security that will aggregate the reporting metrics needed in a Retail Data Platform.
· Ensure consistency in delivering quality solutions
· Resolve and identify technical issues continuously
· Teach and learn new technologies and tools within the industry
Basic Qualifications:
· Has 3+ years of experience in data and a minimum of 1+ years of retail experience.
· Experience in Marketing Data.
· Has a bachelor’s or master’s degree in science, Technology, Engineering, or Mathematics related discipline
· Has worked on Cloud Data warehouses such as Snowflake or BigQuery.
· Must have experience with SQL, Python, R, and Looker reporting and dashboarding.
· Experience in distributed source control such as GIT in an Agile-Scrum environment (Airflow experience is a plus).
· Experience with Machine Learning is considered an asset.
· Client-facing experience is highly desired.
· Working with Executive level shareholders is considered an asset.
· Ability to make a difference and lasting impact.
· Can identify ways to improve data quality and reliability.
· Is aligned with the latest data trends or inconsistencies to simplify the data insights.
· Has excellent verbal and written communication skills.
· A commitment to teamwork with excellent interpersonal skills is essential.