Jobot has a quick, one-week project for a Python developer to create a set of automation scripts. The goal is to automate the process of pulling data from a CSV file, performing some simple transformations, and uploading the results to a cloud storage bucket. This is an ideal hourly project for a junior developer who is comfortable with Python, file I/O, and basic data manipulation using libraries like Pandas. You will deliver a set of clean, well-commented scripts that can be run on a schedule.

We are looking to streamline a manual data processing task and need a Python developer to build a simple, effective automation solution. This project is straightforward and has a clear set of requirements, making it perfect for a focused, one-week engagement.

Project Deliverables:

1. A Python script that reads data from a specified CSV file from a local directory.
2. The script should perform data cleaning operations, such as removing duplicate rows, handling missing values in specific columns, and formatting date strings.
3. The script will use the Pandas library for data manipulation.
4. After processing, the script must save the cleaned data as a new Parquet file.
5. Finally, the script should use the boto3 library to upload the resulting Parquet file to a designated AWS S3 bucket.
6. The final code should be well-commented and include a requirements.txt file listing all dependencies.

You will be provided with sample CSV files and the necessary AWS credentials for the S3 bucket. You will have a point of contact for any questions, but you will be expected to work independently to complete the project within the one-week timeframe. This is a great chance to add a practical automation project to your portfolio.

• Proficiency in Python 3.
• Experience with the Pandas library for data manipulation.
• Basic understanding of file formats like CSV and Parquet.
• Familiarity with using APIs or SDKs to interact with cloud services (e.g., AWS S3) is a plus.
• Ability to write clean, readable, and maintainable code.

• A clearly defined project with a short duration.
• Opportunity to work with popular Python libraries like Pandas and Boto3.
• Flexible hours to complete the work within the week.
• Build a real-world automation script for your portfolio.