How to load data from Lever Hiring to S3 Glue
Learn how to use Airbyte to synchronize your Lever Hiring data into S3 Glue within minutes.
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How to Sync to Manually
Step 1: Set Up AWS Environment
Begin by setting up your AWS environment. Ensure you have an AWS account and access to necessary services such as S3, IAM, and AWS Glue. Create an S3 bucket where you intend to store the data from Lever. Set appropriate permissions for your bucket to allow data writing from your environment.
Step 2: Obtain Lever API Access
Log in to your Lever account and navigate to the API section. Generate an API token that will allow you to access the data you need. Note that you will need administrative permissions to create this token. Keep this token secure as it will be used to authenticate API requests.
Step 3: Identify Data to Extract
Determine the specific data you want to move from Lever to S3. Lever provides various APIs for different types of data (e.g., candidates, jobs, interviews). Review Lever's API documentation to understand the endpoints and data schemas that are relevant to your needs.
Step 4: Develop Data Extraction Script
Write a script in a programming language like Python to extract data from Lever using the API token. Use libraries such as `requests` to make API calls to Lever. Paginate through results if necessary and format the data as needed (e.g., JSON or CSV) for storage in S3.
Step 5: Transform Data for S3 Storage
Ensure the extracted data is in a format suitable for storage in S3. If you're storing the data as JSON or CSV, verify that it adheres to a consistent schema. Consider compressing large datasets to save space and speed up the transfer process.
Step 6: Upload Data to S3
Using AWS SDKs (such as Boto3 for Python), write a script to upload the transformed data files to your S3 bucket. Ensure the S3 bucket policies allow the upload from your environment. Test with a small dataset to confirm the upload process works correctly.
Step 7: Set Up AWS Glue for Data Processing
Configure AWS Glue to process the data in your S3 bucket. Create a Glue Crawler to automatically detect the schema of your data and populate the Glue Data Catalog. Once the crawler has run, you can create Glue jobs to transform or query the data as needed, using AWS Glue's ETL capabilities.