
Data Engineering Specialist
8 hours ago
We are seeking a skilled Data Engineering Specialist to support our data engineering platform powered by Databricks. This role combines DevOps practices, system reliability, and security auditing to ensure our data infrastructure is robust, secure, and scalable.
Key Responsibilities:- Maintain and monitor Databricks-based data pipelines and Azure services such as the data lake, Synapse, and Key Vault.
- Implement continuous integration/continuous deployment (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.
- Utilize 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.
- Five or more 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 like 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.
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