with Databricks and Greenhouse?
Emit new event when a candidate submits a new application.
Emit new event when a candidate's application or status changes.
Emit new event when a new interview is scheduled within a specific time period.
Retrieve the output and metadata of a single task run. See the documentation
Adds an attachment to a specific candidate or prospect. See the documentation
Creates a new candidate entry in Greenhouse. See the documentation
Run a job now and return the id of the triggered run. See the documentation
The Databricks API allows you to interact programmatically with Databricks services, enabling you to manage clusters, jobs, notebooks, and other resources within Databricks environments. Through Pipedream, you can leverage these APIs to create powerful automations and integrate with other apps for enhanced data processing, transformation, and analytics workflows. This unlocks possibilities like automating cluster management, dynamically running jobs based on external triggers, and orchestrating complex data pipelines with ease.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
databricks: {
type: "app",
app: "databricks",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.databricks.$auth.domain}.cloud.databricks.com/api/2.0/preview/scim/v2/Me`,
headers: {
Authorization: `Bearer ${this.databricks.$auth.access_token}`,
},
})
},
})
The Greenhouse API offers a powerful suite of tools for automating and enhancing the recruitment process. It allows you to programmatically access candidate information, job listings, scorecards, and scheduling details, which opens a myriad of possibilities for streamlining recruiting workflows. By leveraging the Greenhouse API on Pipedream, you can automate repetitive tasks, integrate with other HR systems, analyze recruitment data, and build custom event-driven workflows to improve the efficiency and effectiveness of your hiring process.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
greenhouse: {
type: "app",
app: "greenhouse",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://harvest.greenhouse.io/v1/user_roles`,
auth: {
username: `${this.greenhouse.$auth.api_key}`,
password: ``,
},
})
},
})