Junior Data Technologist

Kal Tire

25d • Remote

About The Position

The Data Platform Team at Kal Tire has a mission to enable Kal Tire’s Leadership to make decisions supported by trusted information, derived from timely, high-quality sources of data. Kal Tire’s Data Platform consists of the technologies and tooling necessary to source, cleanse, load and transform data, and to realize quality via a Medallion architecture. The Data Platform serves to distribute data to Analysts for modeling and presentation, or to Applications accessing data entities via API based Data Services. Our Data Platform enables Data Governance and provides the foundation for Kal Tire’s successful use of AI. The Junior Data Technologist works within a team of Data Engineers to realize our mission, supporting and engineering data solutions that source, cleanse, load and transform datasets to meet the needs of Analysts working within business areas, or on projects.

Requirements

• 3-5+ years’ experience supporting and developing data, reporting and analytical platforms at a medium-large size organization.
• Experience with Microsoft Azure including resources, resource groups, identity and permissions, cost analysis, automation accounts, log analytics, alerts, etc.
• Experience with the Azure data platform.
• Experience working in an Agile Development environment; ideal candidate has used Azure Dev Ops to plan and participate in intake, backlog management, project completion and sprint activities.
• Knowledge of SQL, Python, Scala, Spark, DAX, Azure Automation Accounts, Logic Apps, Power Apps and the Power Platform
• Working knowledge of GIT including making branches, commits, pull requests and merges.
• Awareness of and exposure to new and up-in-coming technologies in the BI/Analytics/Azure space
• Knowledge of incremental loading patterns and an ability to extend and improve those patterns.
• Ability to quickly understand business problems and apply existing and new tools and techniques to solve the problem.
• Able to understand and empathize with customer needs and challenges.
• Comfortable balancing the needs of the customer with the needs of the team.
• Ability to self-teach/learn new technologies, software languages, APIS independently and with minimal support.

Nice To Haves

• Ideal candidate has experience with most of the following: Data Factory, Databricks, Synapse Analytics, Azure Data Lake, Power BI, Delta Lake.

Responsibilities

• Analyze requirements to recommend, design and implement solutions for extracting and loading data at scale.
• Apply big-data techniques and tools to cleanse, transform and load data.
• Enrich and curate data according to established standards and processes.
• Leverage automation, machine learning or artificial intelligence to reduce manual effort and time to deliver.
• Implement new technology to keep ahead of the demand for data and analytics.
• Extend and evolve our data platform in collaboration with the BI team and user community.
• Implement recommend improvements to our architecture and processes.
• Plan and Implement Features that enhance the consistency, scalability, useability and security of our platform and assets.
• Support client groups through the data flow architecture, request and deployment process
• Actively contribute to the data community by posting articles, best practices and lessons learned and hosting interactive and pre-recorded learning sessions.
• Troubleshoot, analyze, resolve and prevent data load failures, support requests and incidents.
• Escalate issues to Senior Engineers and Support Partners as required.
• Roll-out code changes, bug fixes and feature enhancements via continuous integration and deployment pipelines
• Provide on-call support as required.

Benefits

• Comprehensive medical and dental benefits
• Employee Assistance Program
• A group RRSP/DPSP matching program
• Discount on tires and mechanical services
• Positive work culture, opportunities for growth and development, and work-life balance.
• Opportunities for professional development, such as training programs, mentorship, and tuition reimbursement.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Associate degree