All jobs

Python Automation Engineer

100% Remote Full-time Open now

Job Description – Python Automation Engineer Experience: 7+ Years Location: Remote Timings: 5:30 PM to 2:30 AM IST Notice Period: Immediate Joiners Only Role Overview We are seeking a highly skilled and hands-on Python Automation Engineer with strong expertise in document processing, SharePoint integrations, OCR workflows, and AI-assisted data extraction. The ideal candidate will have experience working with large volumes of semi-structured and unstructured documents, building scalable automation pipelines, and extracting accurate structured data from PDFs and scanned documents. This role requires strong problem-solving skills, attention to detail, and the ability to work independently in a fast-paced environment.

Key Responsibilities

Build Python-based automation workflows to process historical loan and application documents. Integrate with SharePoint using Microsoft Graph API. Traverse structured SharePoint folder hierarchies to identify and process relevant loan/application files. Extract borrower and broker contact information, including: Name Email Address Phone Number Additional relevant metadata Process both: Text-based PDFs Scanned PDFs requiring OCR Implement AI/LLM-assisted structured data extraction workflows where applicable. Generate clean and structured CSV outputs for CRM enrichment and downstream processing. Handle multiple document versions and inconsistent folder structures efficiently. Build scalable batch-processing and workflow automation pipelines. Ensure high extraction accuracy, data consistency, and validation across large document volumes. Troubleshoot and optimize existing extraction and automation workflows. Required Skills & Qualifications 7+ years of strong Python development experience. Hands-on experience with SharePoint integrations and Microsoft Graph API. Experience working with PDF text extraction libraries and document parsing tools. Strong experience with OCR frameworks for scanned document processing. Familiarity with AI/LLM-assisted data extraction workflows. Experience designing and building batch-processing automation pipelines. Ability to work with semi-structured and unstructured document formats. Strong debugging, data validation, and problem-solving skills. Experience handling large-scale document processing workflows. Preferred Skills Experience working with loan processing, mortgage, banking, or financial documents. Apply To This Job

You might also like

Remote Phone Sales Representative - Aftermarket Auto Parts

100% Remote Full-time

Meta Ads Lead

100% Remote Full-time

Content Creator

100% Remote Full-time

Content Creator (English-speaking | Performance-focused)

100% Remote Full-time

Sales Graduate (2 years)

100% Remote Full-time

Financial Crime Team Lead - German Speaking

100% Remote Full-time

Manager/Senior Manager, Site Payment Reconciliation and Optimisation

100% Remote Full-time

Digital Pathology Business Development Manager (Spain)

100% Remote Full-time

Therapeutic Area Specialist, Hematology & Oncology (m/f/d) - Gebiet 10701: Mannheim, Heidelberg, Karlsruhe, Pforzheim

100% Remote Full-time

Senior Software Test Engineer – Payroll Calculation Engine

100% Remote Full-time

Experienced Live Chat Customer Support Specialist – Remote Opportunity at arenaflex

100% Remote Full-time

Reverse Mortgage Originator Development Program

100% Remote Full-time

Care Center Customer Service & Billing Specialist

100% Remote Full-time

Experienced Pharmacy Customer Service Associate – Patient Care, Retail Operations & Prescription Support

100% Remote Full-time

Remote Data Entry Specialist – Home‑Based, Flexible Schedule with arenaflex

100% Remote Full-time

Magento Developer

100% Remote Full-time

Senior Functional SAP Payroll Consultant (Belgian Payroll)

100% Remote Full-time

Experienced IT Support Specialist – Global Customer Support for arenaflex

100% Remote Full-time

Principle Specialist - Software Development - ABAP

100% Remote Full-time

Remote Mental Health Counselor

100% Remote Full-time