I need a media conversion worker written in Node.JS or Python

We're looking for a back-end developer to create an AWS Beanstalk worker script able to receive and process jobs from the attached AWS SQS queue. This script in Node.JS or Python will receive metadata of a file uploaded on S3 from a user and will convert the files in proxied versions, save them to S3 as separate files and notify the "completed" or "failed" status to an HTTP external JSON API. Input files will be video and video (you can use something like FFMpeg); images and PDF (you can use graphicsmagick). Here's the outline: 1 - A message is pushed to the AWS SQS queue containing: the content ID (as UUID4), the file-hash of the physical object uploaded on the S3 bucket to convert, the extension, and format of the original file and if this conversion will be complete or "thumbnail-only". 2 - The Worker script will accept the AWS SQS message and process the file. Here the transcoding needed to be supported: If the input file is Video (MOV, MP4, MKV) to output files: Thumbnail (PNG 300px), Hi-Quality (1080p MP4 H264), Mid-Quality (720p MP4 H264) and Low-Quality (480p MP4 H264) If the input file is Audio (WAV, AIFF, MP3) to output files: Waveform (SVG), Hi-Quality (320kbps MP3), Mid-Quality (256kbps MP3) and Low-Quality (192kbps MP3) If the input file is Image (JPG, PNG, PSD, EPS, TIFF, DNG) to output files: Thumbnail (PNG 300px), Hi-Quality (2000px JPG), Mid-Quality (1000p JPG) Input File is PDF to output files: Thumbnail (PNG 300px) and Hi-Quality (2000px JPG) 3 - Once the conversion is completed the Worker needs to send a JSON API POST to a WebHook informing which proxied version of the Content ID has been generated or which error happened in which version. You can integrate any external open source library to speed up this project.