Job Description: We are looking for a skilled Operations

Engineer to support our Azure-based Data Engineering

platform powered by Databricks. This role blends DevOps

practices, system reliability, and security auditing to ensure

our data infrastructure is robust, secure, and scalable. You’ll

be instrumental in automating workflows, monitoring system

health, and enforcing security best practices across our data

ecosystem. Key Responsibilities: • Maintain and monitor

Databricks-based data pipelines and Azure data services (e.g.,

Data Lake, Synapse, Key Vault). • Implement CI/CD pipelines

using Azure DevOps for data engineering workflows. •

Conduct regular system health checks and performance

tuning of clusters and jobs. • Automate infrastructure

provisioning using tools like Terraform or ARM templates. •

Use monitoring tools (e.g., Azure Monitor, Log Analytics,

Prometheus) to track system metrics and alert on anomalies.

• Perform security audits using tools like Databricks Security

Analysis Tool (SAT) to ensure compliance with best practices.

• Manage secrets and credentials securely using Azure Key

Vault and Databricks secret scopes. • Collaborate with

security teams to enforce network security, access control,

and data encryption policies. • Maintain operational

runbooks and incident response documentation.

Qualifications: • Bachelor’s degree in computer science,

Engineering, or related field. • 5+ years of experience in

DevOps, cloud operations, or data platform support. •

Proficiency in Azure services, Databricks, and scripting

languages (Python, Bash). • Experience with CI/CD tools

(Azure DevOps, GitHub Actions) and infrastructure-as-code. •

Familiarity with security frameworks and auditing tools in

cloud environments. • Strong troubleshooting skills and a