Job Description

Minimum7 to 12 Years of in Devops + Data Engineering related technology experience- 

Mandatory -

  • Expert level understanding and experience on DevOps area.
  • Expert level understanding and working experience in Kubernetes under below areas –
  • GitOps (ArgoCD)
  • (Nice to have) Experience provisioning data platforms like(Kubeflow, thingsboard, apache superset, Dremio, etc..)
  • Experience with Kubernetes resource templating with helmcharts and or kustomize
  • (nice to have) Helmfile
  • Ingress Controllers (Traefik and Nginx)
  • Cert-manager / Let’s encrypt.
  • Load Balancers
  • HAProxy
  • Hands on Experience with
    • Private Node Pools
    • KeyVault
    • Application Gateway
    • Postgresql
    • Eventhub
    • VNETs and Subnets Configuration
    • Virtual Machines
    • Container Registries
    • Cost Management and Billing
    • Entra ID
    • Log Analytics
  • Expert level understanding and working experience in IaaS(Infrastructure as a Code) – Terraform
  • Understanding of Docker, Docker File, Docker Registry,Automate Build
  • Hands on experience on Azure DevOps(CI/CD Pipeline,Releases, Project Administration, Package Registry (PIP, Maven etc)
  • Understanding of GitFlow and Semantic Versioning
  • Practitioner of AGILE methodology (Scrum/Kanban)
  • Knowledge and experience in Code Management, Code Versioning, Git flow, Release Planning.
  • Excellent communication, presentation ,documentation skills.
  • Mindset – taking initiatives, team player, keen to learn, adapt changes.

Good to have

  • Expert level understanding of distributed computing principles(Big Data Processing).
  • Working experience as Data Engineer in Cloud environment (Microsoft Azure).
  • Understanding of designing Data Pipelines for ETL process(Databricks/Delta table/Spark).
  • Good knowledge and hands on experience in Apache Spark(Batch and Streaming data).
  • Understanding/Experience in designing and setting up Delta lakehouse architecture (Data vault 2.0, Data mart/Star Schema, Snowflake)
  • Exposure to querying technologies like DremIO.