Infrastructure Consultant
1 week ago
The ideal candidate will play a key role in
designing, implementing, and maintaining cloud infrastructure and CI/CD pipelines
to support
scalable, secure, and high-performance data and analytics solutions
. This role requires strong expertise in
Azure, Databricks, and cloud-native DevOps practices
.
Key Responsibilities
- Cloud Infrastructure Design & Management
- Architect, deploy, and manage scalable and secure cloud infrastructure on Microsoft Azure.
- Implement best practices across resource groups, virtual networks, storage accounts, etc.
- Ensure cost optimization, high availability, and disaster recovery for business-critical systems.
- Databricks Platform Management
- Set up, configure, and maintain Databricks workspaces for data engineering, ML, and analytics workloads.
- Automate cluster management, job scheduling, and performance monitoring.
- Integrate Databricks seamlessly with Azure data and analytics services.
- CI/CD Pipeline Development
- Design and implement CI/CD pipelines for infrastructure, applications, and data workflows.
- Work with Azure DevOps / GitHub Actions (or similar) for automated testing and deployments.
- Drive continuous delivery, versioning, and monitoring best practices.
- Monitoring & Incident Management
- Implement monitoring and alerting with Dynatrace, Azure Monitor, Log Analytics, and Databricks metrics.
- Diagnose and resolve issues to ensure minimal downtime and smooth operations.
- Security & Compliance
- Enforce IAM, encryption, network security, and secure development practices.
- Ensure compliance with organizational and regulatory cloud standards.
- Collaboration & Documentation
- Work closely with data engineers, software developers, architects, and business teams to align infrastructure with business goals.
- Maintain thorough documentation for infrastructure, processes, and configurations.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related field.
Must-Have Experience
- 6+ years in DevOps / Cloud Engineering roles.
- Proven expertise in:
- Microsoft Azure (Azure Data Lake, Databricks, ADF, Azure Functions, AKS, Azure AD)
- Databricks for data engineering / analytics workloads.
- Strong experience applying DevOps practices to cloud-based data and analytics platforms.
Technical Skills
- Infrastructure as Code (Terraform, ARM, Bicep).
- Scripting (Python / Bash).
- Containerization & orchestration (Docker, Kubernetes).
- CI/CD & version control (Git, Azure DevOps, GitHub Actions).
Soft Skills
- Strong analytical and problem-solving mindset.
- Excellent communication and collaboration abilities.
- Ability to operate in cross-functional and fast-paced environments.
Skills:- Terraform, Windows Azure, Python, Kubernetes and databricks
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