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Trax is a rapidly growing
company with start-up values
We started out with the daring mission of solving long-standing problems for our CPG and retail customers. Today, we are proud to be market makers, and our journey is streaked with perseverance, team work and a whole lot of fun.
Unleash your potential by joining a powerhouse of brilliant minds from diverse backgrounds, in an environment that is learning-friendly - and often filled with food!
SEE OUR CURRENT VACANCIESFull Stack Engineer
About The Position
For a fast paced, large scale data acquisition project, we’re looking for a Full Stack Engineer who will make major contributions in adding data sources, maintaining existing code, and improving the underlying frameworks.
Responsibilities:
- Understand the data acquisition pipeline for certain data sources
- Keep the pipeline up to date and performant, adapting it to changes in the environment
- Build pipelines for new data sources
- Work on improvements to our data acquisition framework
- Find and fix bugs, some of them hard to figure out
Requirements:
- At least 2 years commercial programming experience in working with JavaScript
- At least 6 months experience with Node.js
- Familiarity with HTML markup, CSS selectors / XPath
- Flexibility for occasional evening meeting with colleagues from the US west coast (once/twice a week)
What your day could look like:
- Check in with your team to share status, priorities, and obstacles
- Investigate a problem in the production system (e.g. to figure out if it was caused by a bug or by a change in a source system)
- Write code (including tests) to fix an issue, or to support a new data source
- Monitor how code you have written is performing in pre-production/production environments
- Occasionally participate in meetings with CTO and product teams to discuss new capabilities and priorities
Advantages (familiarity with the following environments / technologies):
- Puppeteer
- Writing browser extensions
- Kubernetes
- Google Cloud Platform
- Redis
- RabbitMQ
- BigQuery
- Google Pub/Sub
- Google DataFlow
- Typescript
- Looker
- Python & Pandas