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2 days ago
Our team is seeking a skilled Operations Engineer to join its Azure-based Data Engineering platform. This individual will blend DevOps practices, system reliability, and security auditing to ensure our data infrastructure is robust, secure, and scalable.
- Maintain and monitor Databricks-based data pipelines and Azure data services such as Data Lake, Synapse, and 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 such as Azure Monitor, Log Analytics, and 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.
- Bachelor's degree in computer science, engineering, or a related field.
- 5+ years of experience in DevOps, cloud operations, or data platform support.
- Proficiency in Azure services, Databricks, and scripting languages such as Python and Bash.
- Experience with CI/CD tools such as Azure DevOps and GitHub Actions, as well as infrastructure-as-code.
- Familiarity with security frameworks and auditing tools in cloud environments.
- Strong troubleshooting skills and a proactive approach to system reliability.
We offer competitive compensation and benefits packages, including comprehensive medical and dental insurance, 401(k) matching, and paid time off. Our team members also enjoy opportunities for professional development and career growth within the company. If you are passionate about working with cloud-based technologies and are looking for a challenging role with a dynamic team, please submit your application today We look forward to hearing from you
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