How to load data from Lever Hiring to DynamoDB

Learn how to use Airbyte to synchronize your Lever Hiring data into DynamoDB within minutes.

Try Airbyte Cloud Manual method (the hard way)

Building your pipeline or Using Airbyte

Airbyte is the only open source solution empowering data teams to meet all their growing custom business demands in the new AI era.

Building in-house pipelines

Bespoke pipelines are:

Inconsistent and inaccurate data
Laborious and expensive
Brittle and inflexible

Furthermore, you will need to build and maintain Y x Z pipelines with Y sources and Z destinations to cover all your needs.

After Airbyte

Airbyte connections are:

Reliable and accurate
Extensible and scalable for all your needs
Deployed and governed your way

All your pipelines in minutes, however custom they are, thanks to Airbyte’s connector marketplace and AI Connector Builder.

Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a Lever Hiring connector in Airbyte

Connect to or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up DynamoDB for your extracted Lever Hiring data

Select where you want to import data from your source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the Lever Hiring to DynamoDB in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.

Try Airbyte Cloud Manual method (the hard way)

Take a virtual tour

Check out our interactive demo and our how-to videos to learn how you can sync data from any source to any destination.

Demo video of Airbyte Cloud

Demo video of AI Connector Builder

Talk to our team

Setup Complexities simplified!

You don’t need to put hours into figuring out how to use Airbyte to achieve your Data Engineering goals.

Simple & Easy to use Interface

Airbyte is built to get out of your way. Our clean, modern interface walks you through setup, so you can go from zero to sync in minutes—without deep technical expertise.

Guided Tour: Assisting you in building connections

Whether you’re setting up your first connection or managing complex syncs, Airbyte’s UI and documentation help you move with confidence. No guesswork. Just clarity.

Airbyte AI Assistant that will act as your sidekick in building your data pipelines in Minutes

Airbyte’s built-in assistant helps you choose sources, set destinations, and configure syncs quickly. It’s like having a data engineer on call—without the overhead.

Try Airbyte Cloud Manual method (the hard way)

What sets Airbyte Apart

Modern GenAI Workflows

Streamline AI workflows with Airbyte: load unstructured data into vector stores like Pinecone, Weaviate, and Milvus. Supports RAG transformations with LangChain chunking and embeddings from OpenAI, Cohere, etc., all in one operation.

Move Large Volumes, Fast

Quickly get up and running with a 5-minute setup that enables both incremental and full refreshes for databases of any size, seamlessly scaling to handle large data volumes. Our optimized architecture overcomes performance bottlenecks, ensuring efficient data synchronization even as your datasets grow from gigabytes to petabytes.

An Extensible Open-Source Standard

More than 1,000 developers contribute to Airbyte’s connectors, different interfaces (UI, API, Terraform Provider, Python Library), and integrations with the rest of the stack. Airbyte’s AI Connector Builder lets you edit or add new connectors in minutes.

Full Control & Security

Airbyte secures your data with cloud-hosted, self-hosted or hybrid deployment options. Single Sign-On (SSO) and Role-Based Access Control (RBAC) ensure only authorized users have access with the right permissions. Airbyte acts as a HIPAA conduit and supports compliance with CCPA, GDPR, and SOC2.

Fully Featured & Integrated

Airbyte automates schema evolution for seamless data flow, and utilizes efficient Change Data Capture (CDC) for real-time updates. Select only the columns you need, and leverage our dbt integration for powerful data transformations.

Enterprise Support with SLAs

Airbyte Self-Managed Enterprise comes with dedicated support and guaranteed service level agreements (SLAs), ensuring that your data movement infrastructure remains reliable and performant, and expert assistance is available when needed.

What our users say

Raman Singh

Tech Lead at Symend

Predictable, straightforward pricing model that simplified budgeting and significantly reduced overall spend

Learn more

Chase Zieman

Chief Data Officer

“Airbyte helped us accelerate our progress by years, compared to our competitors. We don’t need to worry about connectors and focus on creating value for our users instead of building infrastructure. That’s priceless. The time and energy saved allows us to disrupt and grow faster.”

Learn more

Rupak Patel

Operational Intelligence Manager

"With Airbyte, we could just push a few buttons, allow API access, and bring all the data into Google BigQuery. By blending all the different marketing data sources, we can gain valuable insights."

Learn more

How to Sync to Manually

Step 1: Export Data from Lever Hiring

Begin by logging into your Lever Hiring account. Navigate to the reports or data export section, where you can export the required data. Lever allows you to export data into CSV or Excel formats. Choose the necessary fields and ensure that you have all the relevant data needed for migration.

Step 2: Prepare the Data for Import

Once the data is exported, inspect the files to ensure they meet your requirements and are in good condition. Clean the data if necessary, removing any duplicates or irrelevant information. Convert and structure the data according to the format that DynamoDB accepts, ensuring the data types match expected values.

Step 3: Set Up AWS DynamoDB Table

Log into your AWS Management Console and navigate to the DynamoDB service. Create a new table, setting the primary key (partition key and optionally a sort key) based on how you plan to query the data. Configure the provisioned capacity or set it to on-demand, depending on your expected workload.

Step 4: Prepare AWS CLI for Data Upload

Ensure you have the AWS Command Line Interface (CLI) installed and configured on your system. You can download it from the official AWS website if needed. Use `aws configure` to set up your AWS credentials and default region. This setup is necessary to upload data to DynamoDB.

Step 5: Convert CSV/Excel to JSON

Use a script or a tool to convert your CSV or Excel data into JSON format, as DynamoDB accepts JSON data. You can write a Python script using libraries like Pandas, or use any other programming language you're comfortable with. Make sure to match the JSON structure with the attributes defined in your DynamoDB table.

Step 6: Batch Upload Data to DynamoDB

Use the AWS CLI or a script to batch upload data to your DynamoDB table. The `batch-write-item` command is suitable for uploading multiple items at once. If using a script, ensure it reads from the JSON file and uploads in chunks, as DynamoDB has limitations on batch write sizes.

Step 7: Verify Data Integrity and Consistency

After uploading, it’s crucial to verify the data integrity and consistency. Use the AWS Management Console or CLI to query the DynamoDB table and compare the data with your source to ensure everything has been imported correctly. Address any discrepancies by re-uploading or adjusting the data as necessary.

Following these steps will help you move data from Lever Hiring to DynamoDB without relying on third-party connectors or integrations.