

Sr Python Developer to Develop RPA Automation Solution with AWS
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr Python Developer to create RPA automation solutions with AWS in Detroit, MI. Contract duration is 12 months, requiring 10+ years of experience, advanced SQL skills, and expertise in Python, AWS, and RPA development.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
August 8, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Detroit, MI
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π§ - Skills detailed
#Automation #"ETL (Extract #Transform #Load)" #HTML (Hypertext Markup Language) #SQL (Structured Query Language) #Python #NLP (Natural Language Processing) #Streamlit #Agile #ML (Machine Learning) #Pandas #SQL Queries #Data Extraction #PyTorch #AI (Artificial Intelligence) #Data Manipulation #AWS (Amazon Web Services) #TensorFlow #UAT (User Acceptance Testing) #Web Scraping #Libraries
Role description
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Position : Sr Python Developer to develop RPA Automation solution with AWS
Location : Detroit MI ( Day 1 Onsite)
Experience : 10+ Years
Duration : Contract/ CTH : 12 Months
Here's how Python can be leveraged in RPA development:
1. Web Scraping and Data Extraction:
Libraries like BeautifulSoup and Scrapy enable the extraction of data from websites.
This is useful for tasks like collecting information from product pages, financial data from websites, or any data that requires regular updates.
1. GUI Automation:
Python libraries like PyAutoGUI and Selenium allow automation of interactions with user interfaces.
This includes tasks like filling out forms, clicking buttons, and navigating through applications.
1. Data Manipulation and Processing:
Python's Pandas library is powerful for data manipulation, cleaning, and transformation.
OpenPyXL is useful for working with Excel files.
1. Integration with AI and Machine Learning:
Python's extensive AI and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) can be integrated into RPA solutions.
This allows for more intelligent automation, including tasks like image recognition, natural language processing, and predictive analytics.
Skills
β’ Develop and implement RPA solutions using Python, AWS, and RPA
β’ Perform browser automation by interacting with HTML and DOM elements
β’ Engage in light UI development using frameworks like Streamlit
β’ Advanced SQL querying skills
β’ Create and maintain detailed design documents
β’ Sustain applications in production environments and ensure their reliability
β’ Conduct and oversee User Acceptance Testing (UAT)
β’ Troubleshoot complex bugs and optimize performance of automation solutions
β’ Integrate various systems using APIs
β’ Write and maintain SQL queries for data manipulation and reporting
⒠Collaborate with cross¬functional teams in an Agile environment