Azure Data Engineer

Job Title

Location

What to Expect from the Role

Azure Platform Engineer

Key Responsibilities

• Engineer platform services using container orchestration, CI/CD pipelines, and automation frameworks.
  
• Implement data ingestion, curation, and transformation using

  Azure-native tools

  .
• Provision storage, enforce security policies, and manage large-scale enterprise data solutions.
  
• Leverage tools for Infrastructure as Code, logging, monitoring, and cloud operations.
  
• Integrate structured and unstructured data into unified, analytics-ready formats.
  
• Build and maintain Infrastructure as Code (IaC) scripts using

  Terraform, Bash, YAML, JSON

  .
• Work in a global, cross-functional environment to deliver cloud solutions.
  

Required Skills and Experience

• 5–8 years

  of experience in cloud development, architecture, and engineering.
• Strong hands-on experience with:
  

• Azure Cloud Services

  : App Gateway, Azure Functions, Azure Key Vault, ADLS

• Azure Data Factory (ADF)

  : Pipelines, Datasets, Linked Services, Activities

• Databricks

  : Data processing and analytics

• Terraform

  : Building, upgrading, and deploying IaC templates
• Experience with:
  

• CI/CD automation

  , container orchestration, and cloud-native deployments

• REST APIs

  for platform and service integration

• Data transformation and integration

  from various sources
• Excellent problem-solving and communication skills.
  
• Experience working collaboratively in distributed global teams.
  

Preferred Qualifications

• Integration experience with

  Power BI

  or

  Power Apps

• Strong commitment to

  DevOps best practices

  and automation-first mindset
• Experience in designing and operationalizing

  enterprise-scale Azure data solutions

• Knowledge of Azure security and compliance practices
  

Work Environment and Expectations

• Hybrid model: Minimum 3 days per week in the office
  
• Flexible work culture, supportive team environment
  
• Shift timing: 12:30 PM – 9:30 PM IST