Python Developer for Automation & Workflow Optimization

Posted last month

Worldwide

Summary

We are looking for an experienced Python developer who can help us build automation scripts and improve our workflows. The main goal is to save time, reduce manual work, and make processes more efficient. You should be comfortable working with different types of automation, including web scraping, data processing, API integrations, and task scheduling. What You’ll Do: Develop Python scripts for automation tasks Build and maintain web scraping tools Integrate third-party APIs Automate repetitive business processes Optimize existing scripts for speed and reliability Handle data extraction, cleaning, and transformation Requirements: Strong experience in Python Experience with automation tools and libraries (e.g., Selenium, BeautifulSoup, requests, pandas) Good understanding of APIs and data handling Experience with cron jobs or task schedulers Ability to write clean and efficient code Nice to Have: Experience with cloud platforms (AWS, GCP, or Azure) Knowledge of databases (MySQL, PostgreSQL, MongoDB) Experience with bots or workflow automation tools Project Type: Ongoing work with the possibility of long-term collaboration. To Apply: Please share: Your past automation projects Tools and libraries you usually use A short explanation of a similar task you’ve done We’re looking for someone reliable, responsive, and focused on delivering quality work.

  • More than 30 hrs/week
    Hourly
  • 1-3 months
    Duration
  • Expert
    Experience Level
  • $20.00

    -

    $30.00

    Hourly
  • Remote Job
  • Ongoing project
    Project Type

Contract-to-hire opportunity

This lets talent know that this job could become full time.
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Skills and Expertise
Mandatory skills
Python
Automation
API
JavaScript
Activity on this job
  • Proposals:50+
  • Last viewed by client:last week
  • Interviewing:
    0
  • Invites sent:
    0
  • Unanswered invites:
    0
About the client
Member since May 22, 2008
  • Spain
    Marbella12:57 PM
  • $350K total spent
    78 hires, 13 active
  • 10,427 hours

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