T-Systems ICT India Pvt. Ltd. is hiring a Data Engineer

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.