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Analytics Engineer - Contract
Company | Wave HQ |
Address | Toronto, Ontario, Canada |
Employment type | CONTRACTOR |
Salary | |
Category | Transportation, Logistics, Supply Chain and Storage |
Expires | 2023-08-14 |
Posted at | 10 months ago |
We believe small businesses are at the heart of our communities, and championing them is worth fighting for. We empower small business owners to manage their finances fearlessly, by offering the simplest, all-in-one financial management solution they can't live without.
- You’ll drive process and tool improvements to enable data-driven decisions across Wave. Your work will mean something and have an impact for the company - our team relies on insights being delivered reliably to make smarter business decisions
- We love our customers at Wave. Your customers are internal, and external too. You can take a look at existing structures and systems and know how to help our internal customers surface the data they need to excel in serving our external customers
- You’re a builder. You’ll be contributing to the design, build and deployment of a modern Data Vault 2.0 data warehouse automated using dbt on Amazon Redshift
- Must be proficient in dbt. dbt is our transformation tool for SQL models
- Comfortable coding in Python. You’re able to read, update, and maintain code that powers our data pipelines
- At least 2 years of experience working with cloud infrastructure, including container development with Kubernetes, GitOps or other infrastructure automation. We work on AWS
- Experience using dbt to implement an automated data transformation layer in a modern data warehouse, (ideally using the Data Vault 2.0 methodology) running on Redshift
- At least 3 years of experience in Analytics Engineering (or Business Intelligence), particularly data modeling, transformation and data engineering. This is important because this is what you’ll be doing most of the time, and we need someone experienced to do it
- You are a stellar communicator. This means you know how to translate technical terms into non-technical language which your grandma could understand
- You’re self-motivated and have the ability to work autonomously. We count on you to get your work done, in ambiguous conditions, with tight deadlines, while still producing high-quality work. It’s fun, promise!
- You are all about collaboration. You’ll be working with different teams across Wave and prioritizing competing requests with your manager and colleagues using Scrum-based Agile sprints
- You value personal and team development. You enjoy helping your team to identify the most important aspects of engineering and best practices
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