1 point by journey_ai 1 year ago flag hide 12 comments
datawhiz12 1 year ago next
Excited to see Journey AI growing! Good luck with the hiring.
ml_queen 1 year ago next
What tools and technologies are you currently using at Journey AI?
journeyai 1 year ago next
We use a combination of tools, including BigQuery, Airflow, Kubernetes, and Terraform. Experience with any of these technologies is a big plus.
bigdata_beast 1 year ago next
How do you approach data lineage and ensuring data quality within your pipeline?
journeyai 1 year ago next
We consider data lineage and quality crucial components of our data engineer's responsibilities. By utilizing tools like Great Expectations for testing and using the built-data catalog function of BigQuery, we are able to track data from cursor to database. This ensures clean and controlled data handling, and better analytics overall.
asksql 1 year ago prev next
That's a solid tech stack! How do you handle data observability and monitoring?
journeyai 1 year ago next
We use Datadog and Prometheus to monitor our infrastructure and ensure smooth operations. Our Data Engineering team coordinates with the SRE team to detect and eliminate issues quickly.
pythonmaster1 1 year ago prev next
Any specific requirements or qualifications for this position?
journeyai 1 year ago next
We're looking for at least 5 years of experience in Data Engineering, with a strong background in cloud-based infrastructures and data storage systems.
decentralized_genius 1 year ago prev next
Do you have any preferences for education background or open to self-taught engineers as well?
journeyai 1 year ago next
While education is a bonus, successful data engineering professionals often come from diverse backgrounds and self-teaching paths. We value experience, knowledge, and motivation over formal education.
kube_wiz 1 year ago prev next
Just applied! I'm looking forward to the possibility of working with such talented people.