Key Responsibilities :

- Develop and maintain Python-based automation scripts to improve efficiency across business processes.

- Automate repetitive tasks including data extraction, data cleaning, reporting, and workflow optimization.

- Build and manage web scraping tools to collect data from various online sources.

- Work on API integrations to enable seamless data flow between internal systems and third-party platforms.

- Create and automate reports using Excel, PDF, and custom templates.

- Utilize Python libraries such as Pandas, NumPy, OpenPyXL, PyPDF, Requests, and BeautifulSoup/Scrapy.

- Collaborate with cross-functional teams including Operations, MIS, IT, and Business Analytics to identify automation opportunities.

- Debug, optimize, and maintain existing automation scripts for performance and reliability.

- Ensure data accuracy, integrity, and security within all automated workflows.

- Document processes, scripts, and technical workflows for future reference and scalability.

Required Skills & Qualifications :

- Minimum 3+ years of hands-on experience in Python automation.

- Strong command of Python and libraries such as Pandas, NumPy, OpenPyXL, PyPDF, Requests, BeautifulSoup/Scrapy.

- Proven experience in web scraping, API consumption, and automated reporting.

- Experience working with Excel automation, PDF parsing, and data transformation.

- Good understanding of data structures, file handling, and basic SQL queries.

- Strong problem-solving skills and the ability to turn manual processes into automated solutions.

- Excellent attention to detail, documentation skills, and ability to work in a fast-paced environment