Role Overview:
We are seeking a highly experienced Python Lead to oversee the design, development, and delivery of the Census-to-Quote solution. This role involves managing integrations, data processing workflows, and document parsing capabilities to enable accurate and automated data reconciliation between systems.
Job Description:
- Lead end-to-end Python application development for census data ingestion, transformation, and reconciliation workflows
- Design and implement integrations with platforms such as Salesforce, IDP systems, and file-based data sources (Excel, CSV, PDF)
- Architect scalable, maintainable, and secure Python solutions to support business rules for data matching and discrepancy detection
- Oversee PDF/document parsing using libraries and tools such as PyMuPDF, pdfplumber, or Tesseract OCR or third party tools
- Collaborate with business analysts, data engineers, and QA teams to define requirements and acceptance criteria
- Ensure adherence to coding standards, CI/CD practices, and unit/integration testing coverage Guide and mentor team members, review code, and resolve complex technical issues
- Support project milestones from MVP to full-scale deployment
Required Skills:
- 6+ years of Python development experience, including 2+ years in a lead role Expertise in data parsing from structured and unstructured sources (PDF, Excel, CSV, XML) in AWS environment
- Strong knowledge of API design, REST/GraphQL integrations, and data pipelines Proficiency with OCR and NLP libraries for document content extraction
- Hands-on experience with relational and NoSQL databases (PostgreSQL, MySQL, MongoDB) Familiarity with cloud platforms (AWS) and deployment practices
- Strong problem-solving and leadership skills Preferred Experience in insurance, benefits, or healthcare domain data processing Exposure to Salesforce integration