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 on 25 Sept
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Job description
Structured overview of role & requirements
About This Role
- Manage and automate Azure DevOps CI/CD pipelines for development, testing, and production environments to ensure high service availability.
- Implement Infrastructure as Code using Terraform to provision and maintain Azure data platform environments consistently and detect configuration drift.
- Enhance platform security and reliability by managing access controls, monitoring services, and troubleshooting issues across Azure data services including Databricks, Synapse, ADLS Gen2, Azure SQL, and Key Vault.
Minimum Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, Business, or related technical field.
- 2-5 years of experience in cloud engineering, data warehousing, or modern data & analytics platforms.
- Strong hands-on experience with Azure data technologies: Azure Databricks, Synapse Analytics, ADLS Gen2, Azure SQL, Azure Data Factory, Key Vault, Unity Catalog.
- Proficiency in Azure DevOps CI/CD pipeline management and Infrastructure as Code (Terraform).
Ideal Candidate Profile
- Experienced in secure and scalable Azure data platform engineering with a reliability engineering mindset focused on automation and operational excellence.
- Proficient in collaborating across engineering, operations, security, and business teams to optimize data platform performance and security.
- Capable of monitoring, incident response, root cause analysis, and continuous improvement of cloud data services and pipelines.