
Senior Cloud Data Engineer
2 days ago
Job Overview
We are seeking an expert in data engineering to oversee the development and maintenance of our Azure-based platform. This role combines system reliability, security auditing, and DevOps practices to ensure a robust, secure, and scalable data infrastructure.
Key Responsibilities:
- Monitor and maintain 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 plans.
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 proactive approach to system reliability.
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