W

WNS

Global BPM and analytics services provider

DevOps Engineer - AM, Repos/Git/ Powershell/ Python/Azure Data Factory CI/CD

DevOps EngineeringPosted on Nov 12
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • 4 to 5 years of experience in DevOps or build and release, including at least 2 years on Azure DevOps.
  • Experience automating deployments for a data platform.
  • Must-have skills include Azure DevOps Repos and Pipelines, including YAML; Terraform or Bicep; Git; Databricks deployment using Asset Bundles or CLI; and PowerShell, Bash, or Python.
  • Knowledge of change and release controls in regulated financial services and segregation of duties for production deployments.
  • A degree in engineering or computer applications (B.E., B.Tech, or MCA) is required.

Responsibilities

  • Build and maintain CI/CD pipelines in Azure DevOps.
  • Automate deployment of Databricks code, jobs, and workflows using Databricks Asset Bundles.
  • Automate deployment of Snowflake objects and schema changes.
  • Automate deployment of Azure Data Factory pipelines and Power BI content.
  • Write and maintain infrastructure as code in Terraform or Bicep.
  • Manage branching strategy, release process, and environment promotion.
  • Build automated checks into pipelines, including tests, code quality, and security scans.
  • Manage secrets and service connections through Key Vault.
  • Monitor pipeline runs and fix deployment failures.
  • Document release procedures and support change management.

Desired Qualifications

  • Experience with Snowflake schema-change tools such as schemachange.
  • Experience with Power BI deployment pipelines.
  • Experience with Azure Data Factory CI/CD.
  • Experience with Azure Monitor.
  • Microsoft Certified: DevOps Engineer Expert (AZ-400) certification.
  • HashiCorp Certified: Terraform Associate certification.

About the Company

WNS

Global BPM and analytics services provider

WNS provides business process management and analytics services to large enterprises. It helps clients improve operational efficiency, customer experience, and decision-making by delivering end-to-end BPM, research and analytics, finance and accounting, and digital transformation support across industries such as insurance, banking, healthcare, travel, and manufacturing. The company combines domain expertise with technologies like artificial intelligence, machine learning, and advanced analytics to create custom, data-driven solutions. Delivery centers worldwide enable scalable, agile service delivery and access to specialized talent, while a digital-first approach focuses on automation, cognitive computing, and data insights. WNS aims to form long-term partnerships that deliver measurable business impact across the value chain.

Company size
10,001+
Company stage
Acquired
Total funding
$3.3B
Headquarters
Mumbai, India
Founded
1996

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