Data Scientist

Production Support : Involves in monitoring, triaging, root cause analysis and reporting the production incidents.
Investigating issues reported by Client.
Reportdb servers management.
Access Management to new users on Reportdb (snapshot of production data base)
Working with stability team to enhance the Watch tower alerts and suggesting the changes if any.
Working with cronjobs and scripts used to dump and restore from ProdDb.
Non prod deployments in Azure Devops as per requests.
Creating Kibana dashboards.

Technical Skills:

Mandatory Skills:

Experience AWS DevOps, EKS, EMR
Strong Docker, Dockerhub,
Proficient in Terraform, Ansible
Good Exposure to Git, Bitbucket
Good to have:

Knowledge and experience in Kubernetes, docker etc
Cloud Experience working with VM S and azure storage.
Sound data engineering experience.
Behavioral skills :

Good communication with clients/operational managers - listening and providing answers
Strong problem solving skills, ability to gather and assimilate information
Ability to build from good relationships with clients/operational managers and colleagues
Ability to be adapt and prioritize, work under pressure and meet deadlines
Ability to think ahead and anticipate problems, issues and solutions
Innovative approach, good Presentation skills
Willing to work in shifts /extended hours