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MongoDB Data Infrastructure Engineer Canada 928778099
24.06.2024
Here’s what we expect of you:
- Understand SQL at an advanced level and are able to review SQL statements from other teams
- Have experience with distributed computing frameworks, such as Hadoop or Spark.
- Have experience with data pipelines and workflow management tools (for example, Airbyte)
- Are able to write easy to maintain code and documentation in at least one language. (We’re a golang shop.)
- Know how to leverage CI/CD systems to deploy and make changes to an already existing data platform infrastructure
- Are able to use infrastructure-as-code tools to create self-healing systems. (We use Terraform)
- Understand the problem domain of cloud-native infrastructure for data services, and keeps your knowledge up to date as the industry evolves
- Can lead small-to-medium sized projects independently, while keeping your Lead (Manager) and various stakeholders up-to-date
- Can own the infrastructure of our data platform, and uses your knowledge to keep it stable, performant, durable, and secure
- Always be willing to jump in and use your knowledge and skills to resolve issues, hopefully before our users even notice
- Love the challenge of dealing with large amounts of fast-moving data
- In addition to advanced SQL knowledge, you’re familiar with MQL. (MongoDB Query Language)
- You know several programming languages, including Go, Java and Python
- Have an open mind and a willingness to adapt infrastructure designs over time as our needs change and grow
- Are able to work with container orchestration systems, such as Kubernetes, even if you aren’t (yet!) an expert in it
- Have an understanding of telemetry data. We use OpenTelemetry and like to make things as visible as we can
- You are well-versed in data reliability and integrity best practices
- You maintain a working knowledge of the data-focused offerings from our cloud providers, and are able to make recommendations as new technologies emerge
- You have a deep knowledge of Linux and TCP/IP networking
- You can help our team win the game of “Apache Project or Fictional Dinosaur-Like Cartoon Character?”
- We’re a distributed team. Our Platform team is located mostly in the EDT and PDT time zones, but we work with other teams all over the world
- Our team is remote-first. We use tools like Slack and Zoom to work together. We try to get together on occasion, but our day-to-day is all remote (If you live close to one of our offices, and would like to use it, that’s okay, too!)
- We have a lot of data that’s generated every day. Our internal CI system, , runs millions of tests daily
- One of the challenges we’re facing is figuring out how to take those millions of daily test results and determine which tests are the most beneficial to run
- Our customers are all internal to MongoDB. We’re in the nice position where we can easily talk to our users
- You’d have a chance to join our team at the very early stages of our data platform. We have a big dream and mission, and you’d get to help us design and implement it along the way
- You’d get a chance to look at some very large MongoDB instances
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