Databricks Admin

EverestDX Inc; Hyderabad; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

EverestDX Inc is seeking a Cloud Data Engineer & Databricks Administrator to join our Cloud Engineering team in Hyderabad. You will optimize cloud-native databases, automate maintenance, and drive analytics through dashboards and cost controls.

You’ll collaborate across teams to support Databricks, Power BI, and data tooling, while implementing robust security practices and SOPs for scalable data platforms.

Qualifications

• Bachelor’s degree in computer science, IT, or related field.
• 5+ years of data engineering or Databricks administration experience.
• Strong SQL and NoSQL database experience.
• Cloud platforms knowledge (Azure preferred).
• Familiar with Jenkins, CI/CD, and Git.

Responsibilities

• Manage and administer cloud-native databases (Azure SQL, PostgreSQL Flexible Server, Cosmos DB, MongoDB Atlas).
• Automate maintenance tasks: backups, performance tuning, auditing, cost optimization.
• Implement and monitor data archival and retention policies to optimize queries and costs.
• Build and maintain Jenkins pipelines and Azure Automation jobs for data ops.
• Design and maintain dashboards for cost tracking, performance, and usage analytics (Power BI/Tableau).
• Enable and manage authentication and access controls (Azure AD, MFA, RBAC).
• Collaborate with cross-functional teams to support Databricks, Power BI, and other data tools.
• Write and maintain SOPs for data platform operations.
• Ensure alignment of deliverables with data platform standards.

Skills

Cloud data engineering

Databricks administration

Python scripting

SQL

Power BI

Jenkins

Azure

RBAC

Cost optimization

Education

Bachelor's degree in computer science or related field

Tools

Git

Azure Automation

Confluence

ServiceNow

Terraform

Job description

Everest DX is a rapidly growing digital transformation and platform solutions company. We partner with both Fortune 50 enterprises and innovative startups. Our product platforms span FinOps, Cloud Observability, Security, Automation, and AI infrastructure solutions.

To know more please visit: http://www.everestdx.com

About The Role

We are seeking a Cloud Data Engineer & Databricks 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

• Bachelors degree in computer science, Information Technology, or a related field (or equivalent professional experience).
• 5+ years of professional experience in data engineering or databricks administration.