
Cloud Database Engineer
4 weeks ago
About the Role:
We are seeking a Cloud Data Engineer & Database Administrator to join our Cloud Engineering team and support our cloud-based data infrastructure. This role focuses on optimizing database operations, enabling analytics/reporting tools, and driving automation initiatives to improve scalability, reliability, and cost efficiency across the data platform.
Key Responsibilities:
- Manage and administer cloud-native databases, including Azure SQL, PostgreSQL Flexible Server, Cosmos DB (vCore), and MongoDB Atlas .
- Automate database maintenance tasks (e.g., backups, performance tuning, auditing, and cost optimization).
- Implement and monitor data archival and retention policies to enhance query performance and reduce costs.
- Build and maintain Jenkins pipelines and Azure Automation jobs for database and data platform operations.
- Design, develop, and maintain dashboards for cost tracking, performance monitoring, and usage analytics (Power BI/Tableau).
- Enable and manage authentication and access controls (Azure AD, MFA, RBAC).
- Collaborate with cross-functional teams to support workflows in Databricks, Power BI, and other data tools .
- Write and maintain technical documentation and standard operating procedures (SOPs) for data platform operations.
- Work with internal and external teams to ensure alignment of deliverables and data platform standards.
Preferred Qualifications:
- Proven experience with cloud platforms (Azure preferred; AWS or GCP acceptable).
- Strong hands-on expertise with relational and NoSQL databases .
- Familiarity with CI/CD tools (Jenkins, Azure Automation) and version control (Git).
- Strong scripting knowledge (Python, Bash, PowerShell ) and experience with Jira, Confluence, and ServiceNow .
- Understanding of cloud cost optimization and billing/usage tracking.
- Experience implementing RBAC, encryption, and security best practices .
- Excellent problem-solving skills, communication, and cross-team collaboration abilities.
Nice to Have:
- Hands-on experience with Databricks, Apache Spark, or Lakehouse architecture .
- Familiarity with logging, monitoring, and incident response for data platforms.
- Experience with Power BI (DAX, data modeling, performance tuning, and troubleshooting).
- Understanding of Kubernetes, Docker, Terraform , and advanced CI/CD pipelines.
Required Skills:
- Bachelor's degree in computer science, Information Technology, or a related field (or equivalent professional experience).
- 5+ years of professional experience in data engineering or database administration.
- 3+ years of database administration experience in Linux and cloud/enterprise environments.
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