Job Title: Azure DevOps / Azure Data Engineer
Location: Chennai
Experience: 5 to 7 Years
Employment Type: Full-Time
Job Overview:
We are looking for an experienced Azure professional who can work as either an Azure DevOps Engineer or an Azure Data Engineer, depending on project needs. The ideal candidate will have a strong foundation in Python, MySQL, and database query optimization, with hands-on experience in Azure cloud services and automation workflows.
Key Responsibilities:
For Azure Data Engineering:
- Design, build, and maintain scalable data pipelines using Azure Data Factory, Data Lake, and Synapse.
- Develop ETL workflows and automate data transformations using Python.
- Create and optimize SQL/MySQL queries, stored procedures, and indexing strategies.
- Work with data modeling (Star/Snowflake schema) and ensure data accuracy and consistency.
- Manage and monitor data movement between cloud and on-premise systems.
For Azure DevOps Engineering:
- Implement and manage CI/CD pipelines using Azure DevOps or GitHub Actions.
- Automate build and release processes for application and data projects.
- Configure and manage Azure infrastructure (VMs, Storage Accounts, App Services, Key Vault, etc.).
- Collaborate with developers and data teams to streamline deployment and monitoring processes.
- Maintain and improve infrastructure-as-code (IaC) using ARM templates, Terraform, or Bicep.
Required Skills and Experience:
- Bachelor’s degree in Computer Science, Information Technology, or related field.
- 5–6 years of hands-on experience in Azure Cloud Services.
- Strong knowledge of Python for scripting, data processing, and automation.
- Expertise in MySQL and database query optimization.
- Experience with either:
- Azure Data Services: Data Factory, Data Lake, Synapse, Databricks, OR
- Azure DevOps Services: Pipelines, Repos, Artifacts, Infrastructure as Code.
- Familiarity with Git, CI/CD, and containerization (Docker/Kubernetes).
Job Type: Full-time
Pay: ₹1,241,568.36 - ₹1,785,694.25 per year
Application Question(s):
Experience:
- Total: 4 years (Preferred)
Work Location: In person