EverestDX - Cloud Database Engineer - Azure

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 :

- 5+ years of professional experience in data engineering or database administration.

- 3+ years of database administration experience in Linux and cloud/enterprise environments