Architect - Technology
Cognizant
Chennai, Tamil Nadu, India
6d ago

Requirement-1 :

Java / JEE, Technical architect experience and cloud exposure (AWS, Azure, GCP)

Understanding of cloud-native architectures, container orchestration, microservices and operational best practices in the cloud.

SQL, Spark, and other AWS big data technologies like Glue etc.

Hands on expertise in deploying and scaling a Kubernetes container-as-a-service platform

AWS EKS and EKS Fargate and / or OpenShift or Pivotal platforms Kafka and Spark .

Good Understanding of Data Security / Security in Data Platform

Experience in modern engineering agile development practices and technologies including DevOps concepts, CI / CD, cloud native development , GitHub and more

Requirement-2 :

Solution + Data Architect profile

  • Understanding of cloud-native architectures, container orchestration, microservices and operational best practices in the cloud.
  • Create and maintain efficient data pipelines, integrating wide variety of sources, internal and external and transform using SQL, Spark, and other AWS big data technologies like Glue etc.
  • Hands on expertise in deploying and scaling a Kubernetes container-as-a-service platform
  • Design, build and deploy workloads in Kubernetes and expertise with AWS EKS / Azure AKS, EKS Fargate and / or OpenShift or Pivotal platforms
  • Experience in building streaming pipelines using Kafka and Spark .
  • Good Understanding of Data Security / Security in Data Platform
  • Experience in modern engineering agile development practices and technologies including DevOps concepts, CI / CD, cloud native development , GitHub and more
  • Requirement-3 :

    Microservices architecture, patterns and technologies, Rest API, Integration architecture & Design Patterns.

    Pillars of Well-architected Cloud Framework

    7R / 8R Cloud Disposition / Cloud Migration Strategies

    Cloud Native concepts namely, Microservices Architecture, Containerization for Deployment / Serverless Deployments, PaaS / SaaS.

    Data Lake architecture / approach

    End-to-end digital security for on-prem, cloud and hybrid model.

    Enterprise architecture strategies for DevOps.

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