DevOps and Build Engineer for NVIDIA developing and maintaining CI/CD pipelines. Collaborating with teams to enhance compiler technologies and optimize build performance in a diverse environment.
About the role
- Azure Data Engineer responsible for designing and automating data platforms within Microsoft Azure ecosystem. Ensuring scalable and reliable data solutions using IaC and CI/CD practices.
Responsibilities
- Design & Implement ETL/ELT: Develop, optimize, and maintain scalable data pipelines using Python, SQL, and core Azure data services.
- Architect and manage key Azure data components, including Data Lakes, Data Processing, Data Warehousing, and Data Modeling and Quality.
- Design, manage, and provision all Azure data resources using Terraform or Azure Resource Manager (ARM) Templates/Bicep.
- Build and maintain automated CI/CD pipelines for all code using Azure DevOps or GitHub Actions.
- Utilize Docker and manage deployment environments using Azure Kubernetes Service (AKS) or Azure Container Instances (ACI).
- Configure monitoring and alerting using Azure Monitor and Log Analytics with implemented network security and access controls (RBAC).
Requirements
- Strong hands-on experience designing and deploying end-to-end data solutions specifically within the Azure ecosystem.
- High proficiency in Python (including PySpark) and expert knowledge of SQL.
- Proven, production-level experience with Terraform (preferred) or ARM/Bicep for automating Azure infrastructure deployment.
- Experience setting up CI/CD workflows using Azure DevOps Pipelines or GitHub Actions.
- Deep working knowledge of Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
- Experience with workflow orchestration tools like Azure Data Factory or Apache Airflow.
Benefits
- Flexible work arrangements
- Professional development opportunities
Job title
Job type
Experience level
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Not specified
Degree requirement
Tech skills
Location requirements
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