Job Description
DevOps and CI/CD expertise: Proven ability to implement and manage CI/CD pipelines using Azure DevOps, GitLab Pipelines, or similar tools, including Infrastructure-as-Code practices to automate deployment and ensure secure, consistent releases of data platform components
Cloud platform proficiency: Deep knowledge of Microsoft Azure cloud infrastructure, including cloud migration experience
Strong experience with Microsoft Fabric and Azure Data Services: Hands-on expertise in Microsoft Fabric components (Lakehouse, OneLake, Data Pipelines, Real-Time Analytics, Power BI Integration) and Azure services like Azure Data Factory, Synapse Analytics, and Data Lake Storage is essential
Monitoring and observability: Experience with monitoring platform health, performance tuning, and using observability tools to ensure reliability and cost optimization of data platforms
Primary Skills
Azure, Data Lake, Data Pipeline, Synapse,
Role: DevOps Engineer
Industry Type: IT Services & Consulting
Department: Engineering - Software & QA
Employment Type: Full Time, Permanent
Role Category: DevOps
Education
UG: B.Tech/B.E. in Any Specialization
PG: Any Postgraduate