Required Experience: 5-8
Must have Responsibilities
1. Perform Azure service enablement including networking, storage, security, and identity services, VM, Vnet, Private Endpoints
2. Implement and manage Azure Monitor, Log Analytics, and Application Insights for end-to-end observability
3. Implement security best practices using Azure AD, RBAC, NSG, Firewall, and Azure Policies
4. Support and implement MLOps workflows using Azure Machine Learning (model deployment, monitoring, versioning), AI Foundry
5. Design and build and integrate CI/CD pipelines (Azure DevOps / GitHub Actions)
6. Maintain technical documentation and architecture diagrams
7. SQL - ability to write and understand queries
8. Provide L2/L3 support and troubleshooting for Azure-related issues
9. Good fundamental knowledge of ADF, Databricks, Key vault, Azure SQL server and there integration
10. Basic of Python and any scripting language for CI/CD devops support
Nice To have:
1. Automate infrastructure provisioning using ARM templates, Terraform, or Bicep
2. Hands-on exposure to Azure Machine Learning and MLOps concepts
3. Experience with Azure service governance
4. Good Python Programming
5. Understanding of Azure security, compliance, and cost management
1. Perform Azure service enablement including networking, storage, security, and identity services, VM, Vnet, Private Endpoints
2. Implement and manage Azure Monitor, Log Analytics, and Application Insights for end-to-end observability
3. Implement security best practices using Azure AD, RBAC, NSG, Firewall, and Azure Policies
4. Support and implement MLOps workflows using Azure Machine Learning (model deployment, monitoring, versioning), AI Foundry
5. Design and build and integrate CI/CD pipelines (Azure DevOps / GitHub Actions)
6. Maintain technical documentation and architecture diagrams
7. SQL - ability to write and understand queries
8. Provide L2/L3 support and troubleshooting for Azure-related issues
9. Good fundamental knowledge of ADF, Databricks, Key vault, Azure SQL server and there integration
10. Basic of Python and any scripting language for CI/CD devops support
Graduate in Computer Science, Data Science, or related field. 5-8 years of experience in data engineering or a related field.
Choosing a digital partner is about more than capabilities — it’s about collaboration and character.
Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments.
At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations.
Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale.
Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact.
We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition.
At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward.
For more information, visit www.exlservice.com.
