databricks-jobs

Automate Databricks Jobs creation, listing, triggering, updating, and monitoring.

1|1|Updated Oct 1, 2025
One-click install
npx skills add https://github.com/mkgs-databricks-demos/synthea-on-fhir --skill databricks-jobs-mkgs-databricks-demos
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: databricks-jobs
Source: https://github.com/mkgs-databricks-demos/synthea-on-fhir/tree/main/.cursor/skills/databricks-jobs
Command: npx skills add https://github.com/mkgs-databricks-demos/synthea-on-fhir --skill databricks-jobs-mkgs-databricks-demos

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Databricks Jobs orchestration can be complex and error-prone; this skill provides a structured approach to planning, executing, and monitoring jobs to reduce manual digging and troubleshooting.

Core Features & Use Cases

  • Support for creating, listing, running, updating, or deleting Databricks Jobs via Python SDK, CLI, or Asset Bundles.
  • Handles various task types, triggers, schedules, and notifications, with examples covering notebooks, SQL, pipelines, and parallel processing.
  • Use cases include building reliable ETL pipelines, event-driven processing, and cross-environment deployment with consistent governance.

Quick Start

Describe a Databricks Jobs task you want to perform and I will apply this skill to implement it end-to-end.

Frequently Asked Questions about databricks-jobs

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate Databricks Jobs creation and monitoring end-to-end?

You can automate Databricks Jobs end-to-end by defining job configurations, triggers, and schedules, which the skill validates and applies across Python SDK, CLI, or Asset Bundles to prevent misconfigurations.

What's the best way to configure triggers and schedules for Databricks notebooks?

Configuring triggers and schedules for Databricks notebooks is handled by defining task types and event conditions, allowing you to build reliable ETL pipelines and event-driven processing with consistent governance.

Does this approach support deploying Databricks Asset Bundles across different environments?

Yes, Databricks Asset Bundles are supported for cross-environment deployment, allowing you to package jobs, triggers, and optional resources to ensure consistent governance across development and production.

Can I run parallel processing and SQL tasks within a single Databricks job?

Running parallel processing and SQL tasks within a single Databricks job is supported, as the skill handles various task types including notebooks, SQL, and pipelines to structure complex orchestration workflows.

How do I update and manage notifications for running Databricks pipelines?

Updating and managing notifications for running Databricks pipelines requires clear inputs for job definitions, which the skill validates to prevent misconfigurations before applying updates via Python SDK or CLI.