About the Role: We are seeking an experienced Python Developer with 24 years of hands-on experience to work on data extraction and automation projects. The role involves extracting data from emails, PDFs, Word, and Excel documents, processing it into structured formats such as text or Excel, and automating workflows using cron jobs and email integrations. Role & responsibilities: Develop and maintain Python scripts for automated data extraction and processing. Work with multiple file formats including emails, PDFs, Word (.docx), and Excel (.xlsx) . Implement email automation workflows automatically fetch, read, and process incoming emails using IMAP/SMTP. Create and manage cron jobs for scheduled automation tasks such as data extraction, processing, and report generation. Use libraries such as pandas, openpyxl, pdfplumber, PyPDF2, python-docx, imaplib, smtplib , and email for automation tasks. Format and transform extracted data into readable, structured reports (Excel/CSV/Text). Ensure robust error handling, logging , and status notifications for all automation scripts. Collaborate with the team to enhance automation efficiency and ensure high data accuracy. Maintain clean, modular, and well-documented code using Git for version control. Preferred candidate profile Bachelors degree in Computer Science, Engineering, or a related field. 2–4 years of professional experience in Python development. Hands-on experience with email automation using Python (imaplib, email, smtplib). Expertise in data extraction from PDFs, Excel, and Word documents using: pdfplumber, PyPDF2, openpyxl, pandas, python-docx. Strong understanding of cron jobs , task scheduling , and automation scripts in Linux/Windows environments. Knowledge of data cleaning, transformation, and formatting techniques. Familiarity with JSON , regex , and API integration . Strong problem-solving, debugging, and documentation skills.
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