Cloud Database Engineer

5 days ago

Hyderabad, Telangana, India EverestDX Inc Full time

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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