Platform Engineer

5 years

0 Lacs

Posted:21 hours ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Position:

Experience:

Employment Type:

Work Mode:

Working Hours:


Role Summary:

Senior Cloud Data Platform Engineer

This role requires a proactive engineer who can design scalable cloud architectures, implement robust data workflows, and ensure high availability and performance across cloud data environments.


Key Responsibilities:

  • Design, implement, and manage

    Cloud Data Platform infrastructure

    for:
  • Azure Data Factory (ADF)

  • Self-Hosted Integration Runtime (SHIR)

  • Logic Apps

  • Azure Data Lake Storage Gen2 (ADLS Gen2)

  • Blob Storage

  • Configure, optimize, and maintain

    Snowflake data warehouse

    to meet business and performance needs.
  • Develop and manage

    CI/CD pipelines

    using

    Git Actions

    for automated build, test, and deployment workflows.
  • Implement and manage

    Infrastructure as Code (IaC)

    using

    Terraform

    to automate cloud resource provisioning.
  • Collaborate with

    data engineers, DevOps, and architecture teams

    to deliver scalable, secure, and reliable data platform solutions.
  • Monitor, troubleshoot, and optimize the

    cloud infrastructure

    for performance, cost efficiency, and reliability.
  • Apply

    security and compliance best practices

    to protect cloud data assets and integrations.


Required Qualifications & Skills:

  • 5+ years

    of professional experience as a

    Cloud Data Platform Engineer

    or in a similar role.
  • 3+ years

    of hands-on experience managing

    Azure Cloud Data Stack

    components (ADF, SHIR, Logic Apps, ADLS Gen2, Blob Storage).
  • Proven expertise in

    Snowflake configuration, optimization, and management

    .
  • Strong knowledge of

    CI/CD pipelines

    using

    Git Actions

    .
  • Experience with

    Terraform

    and

    Infrastructure as Code (IaC)

    methodologies.
  • Solid understanding of

    cloud architecture

    , data integration, and DevOps principles.
  • Excellent analytical, troubleshooting, and problem-solving skills.
  • Strong communication and teamwork abilities, with the capacity to work in a dynamic environment.

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