Senior Engineer, EDT Data & Analytics Cloud Engineering
Stryker (company site, opens in a new tab)2–5 yrsGurugramOn-siteDirect career pageEst. 12–22 LPA
Posted 15h ago
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Job description
Structured overview of role & requirements
About This Role
- Own Azure DevOps pipeline management and automation to ensure high availability across development, testing, and production.
- Implement and maintain Infrastructure as Code (Terraform) for consistent provisioning and environment management of Azure data services.
- Manage platform security and operations focusing on reliability engineering, monitoring, incident response, and performance tuning for Azure data & analytics platforms.
Minimum Requirements
- 2-5 years of experience in cloud engineering, data warehousing, or modern data & analytics platforms.
- Hands-on expertise with Azure data technologies: Azure Databricks, Synapse Analytics, ADLS Gen2, Azure SQL, Azure Data Factory, Key Vault, and Unity Catalog.
- Proficiency in Azure DevOps CI/CD pipeline management and Terraform-based Infrastructure as Code.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, Business, or related technical field.
Ideal Candidate Profile
- Experienced in operating and automating end-to-end Azure data platform deployments including secure access and environment provisioning.
- Skilled in reliability engineering practices, including monitoring, root cause analysis, and incident management for cloud data platforms.
- Collaborative operator who partners effectively across engineering, operations, security, and business teams to optimize platform performance and security.