
Data Engineer
- Canada
- $140,000-175,000 per year
- Permanent
- Full-time
- Give colleagues and clients the tools to find and use data for routine and non-routine analysis.
- Use your sound eye for business to translate business requirements into technical solutions.
- Analyze current business practices, processes, and procedures to spot future opportunities.
- Assess client needs to build bespoke data design services.
- Provide exceptional Support to our business partners
- Build the building blocks for transforming enterprise data solutions.
- Design and build modern data pipelines
- Implement effective metrics and monitoring.
- Be comfortable making your own decisions and guiding your colleagues.
- Design and develop technical best practices for modeling and report design
- Transforming business needs into technical solutions
- Mapping data and analytics
- Data profiling, cataloguing, and mapping to enable the design and build of technical data flows.
- Use proven methods to solve business problems using Azure Databricks
- Building or being part of the build of an Enterprise Semantic layer
- Experience in preparing data for and building pipelines and architecture.
- Capable of working independently to solve problems under deadlines and to manage multiple projects/priorities under time constraints.
- Review functional and design specifications to ensure a full understanding of individual deliverables.
- 5+ years of data engineering experience.
- 2+ years of hands-on experience with both Databricks and Microsoft Azure Stack to support new system architectures.
- Experienced with designing and deploying end-to-end solutions with a cloud platform's analytic services including storage, permissions, private cloud, Infrastructure as Code (IAC), database services, virtual machines, and parallel processing technologies.
- You possess a working knowledge of agile development methodologies including DevOps concepts.
- You're well-versed in version control platforms like Git
- Solid understanding and capability in Python for data tasks and integration
- MS D365
- Relocation Industry experience
- Fabric/Power BI and Power Query
- AI/ML experience