- Building platform for data analysts/scientists on Kubernetes so Data Scientists can add capabilities as needed
- Looking for 3-5 yrs experience but ultimately if they're solid in Kubernetes, and have 2 yrs that's ok too
- Kubernetes, Docker and Python-required
- Some cloud experience
- Config management with Ansible
We are looking for Container Engineers to join our team and help us with building platforms/features for our tech partners, data analysts and data scientists.
The candidate should be able to quickly learn and adapt to new technologies as the work demands.
We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have working experience using the following Technology/Skills:Programming/Scripting:
Python, Shell scripting, Groovy(good to have) Golang(good to have)Cloud:
AWS (EC2, EMR, Lamda, IAM, EFS, EBS etc.),Data Streaming/Processing:
Jenkins, GitHub/Bitbucket,Container Technologies
: Docker, KubernetesConfiguration Management/Orchestration
: Ansible, Chef, AWS CloudFormationAny experience with Airflow, Restful API is preferred.
Strong Python is a must. Should have at least mid-level experience with building/deploying applications to Kubernetes. Able to troubleshoot and debug using logs/events in Kubernetes.