Data Engineer

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profile Job Location:

Bengaluru - India

profile Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

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 / Lets 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 RegistryAutomate Build
  • Hands on experience on Azure DevOps(CI/CD PipelineReleases 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.

Additional Information :

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Remote Work :

No


Employment Type :

Full-time

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 platform...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala

About Company

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T-Systems Information and Communication Technology India Private Limited (T-Systems ICT India Pvt. Ltd.) is a proud recipient of the prestigious Great Place To Work® Certification™. As a wholly owned subsidiary of T-Systems International GmbH, T-Systems India operates across Pune, Ban ... View more

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