Databricks DBA — Remote, Full-Time Expert

Nitka; Batu Pahat; Remote; MYR 367,000 - 612,000; Full time

Benefits offered by this job

Remote work

Flexible hours

Paid vacation

USD compensation

Job summary

Nitka Technologies is seeking an experienced Databricks DBA for a long-term remote engagement. You will manage Databricks workspaces, configure governance, and maintain unity catalog objects while assisting users with cluster configurations.

The role requires strong SQL, Linux, Python, and AWS skills, plus experience with Delta Lake and Parquet. English proficiency and EST/Pacific-friendly hours are preferred.

Qualifications

• Experience with implementation, integration or technical support.
• Experience with Linux, Bash.
• Confident SQL skills.
• Strong experience with AWS infrastructure (EC2, S3, IAM, VPC, secret management, SQS).
• Experience with Python for small scripts or apps.
• Experience maintaining Databricks jobs & environments.
• Experience with REST API/SDK.
• Understanding of DeltaLake/Parquet/Hive files.
• Understanding of cluster types & node families.
• English at least Intermediate.

Responsibilities

• Manage multiple Databricks workspaces (dev/QA/prod).
• Configure cluster policies, governance & compliance.
• Create and maintain unity catalog objects and permissions.
• Monitor and debug jobs using system tables and logs.
• Troubleshoot cluster crashes, OOMs and memory leaks.
• Investigate Python/Spark errors and dependencies.
• Assist users with cluster configurations and notebook errors.
• Explain platform limitations and best practices to data engineers.
• Maintain Confluence pages with rules and guides.

Skills

SQL

Python

Linux

Bash

AWS

Databricks

REST API

Delta Lake

Parquet

Hive

English

Tools

Databricks REST API

Job description

Nitka Technologies is seeking an experienced Databricks DBA for a long-term remote engagement. You will manage Databricks workspaces, configure governance, and maintain unity catalog objects while assisting users with cluster configurations.

The role requires strong SQL, Linux, Python, and AWS skills, plus experience with Delta Lake and Parquet. English proficiency and EST/Pacific-friendly hours are preferred.