First, ensure you have access to the Mailjet SMS API. Log in to your Mailjet account and navigate to the API section. Generate an API key and secret if you don't have them yet. This key will be used to authenticate your requests to the Mailjet SMS service.

Use the Mailjet SMS API to retrieve the SMS data you need. This typically involves making HTTP GET requests to the appropriate endpoints. For example, you might use an endpoint like `https://api.mailjet.com/v4/sms` to list sent messages. Use your API key for authentication. Parse the JSON response to extract the relevant data such as message IDs, statuses, and content.

Ensure Redis is installed on your local machine or the server you intend to use. If not, download and install it from the official Redis website. Configure Redis by editing the `redis.conf` file to set parameters like port, password, and persistence options according to your requirements.

Set up a Python environment to facilitate data transfer between Mailjet and Redis. Install necessary packages using pip, such as `requests` for HTTP requests and `redis-py` for interacting with Redis. You can set up a virtual environment using `venv` to keep dependencies organized.

Write a Python script to automate data transfer. Use the `requests` library to fetch SMS data from Mailjet. Then, use the `redis-py` library to connect to your Redis instance and store the extracted SMS data. Structure the data in Redis using appropriate data types such as strings, lists, or hashes, depending on how you plan to organize and query the data later.

Run your Python script to initiate the data transfer. Monitor the execution for any errors or exceptions. Check both the console output and the Redis database to verify that SMS data has been accurately transferred and stored. Adjust error handling and logging in your script to enhance robustness and traceability.

Set up a mechanism to automate regular data transfers to keep Redis updated with the latest SMS data. Use a task scheduler like `cron` on Unix-based systems or Task Scheduler on Windows to run your script at desired intervals. Ensure the script includes logic to only fetch new or updated data to optimize performance and resource usage.