SNS Trigger for Lambda Function

I am having some issues with my lambda function that should get triggered by an SNS notification and grab some data from it however I keep getting this error:

raise JSONDecodeError("Expecting value", s, err.value) from None

Here is the line of code that it keeps throwing this error for:

job_id = json.loads(event["Records"][0]["Sns"]["Message"])["JobId"]

Is there some way I need to decode the event data first? I cannot figure out any way to make it work so far, any advice would be a huge help

full code:

import os
import json
import boto3
import pandas as pd


def lambda_handler(event, context):

    BUCKET_NAME = os.environ["BUCKET_NAME"]
    PREFIX = os.environ["PREFIX"]


job_id = json.loads(event["Records"][0]["Sns"]["Message"])["JobId"]


page_lines = process_response(job_id)

csv_key_name = f"{job_id}.csv"
df = pd.DataFrame(page_lines.items())
df.columns = ["PageNo", "Text"]
df.to_csv(f"/tmp/{csv_key_name}", index=False)

upload_to_s3(f"/tmp/{csv_key_name}", BUCKET_NAME, f"{PREFIX}/{csv_key_name}")
print(df)

return {"statusCode": 200, "body": json.dumps("File uploaded successfully!")}


def upload_to_s3(filename, bucket, key):
    s3 = boto3.client("s3")
    s3.upload_file(Filename=filename, Bucket=bucket, Key=key)


def process_response(job_id):
    textract = boto3.client("textract")

    response = {}
    pages = []

response = textract.get_document_text_detection(JobId=job_id)

pages.append(response)

nextToken = None
if "NextToken" in response:
    nextToken = response["NextToken"]

while nextToken:
    response = textract.get_document_text_detection(
        JobId=job_id, NextToken=nextToken
    )
    pages.append(response)
    nextToken = None
    if "NextToken" in response:
        nextToken = response["NextToken"]

page_lines = {}
for page in pages:
    for item in page["Blocks"]:
        if item["BlockType"] == "LINE":
            if item["Page"] in page_lines.keys():
                page_lines[item["Page"]].append(item["Text"])
            else:
                page_lines[item["Page"]] = []
return page_lines