Job Description

Python Backend / Data Engineer

Key Responsibilities

• Develop and maintain Python scripts and backend services for data extraction, validation, transformation, reconciliation, and reporting.

• Build and manage ETL pipelines using Pandas (Py Spark where applicable); schedule, monitor, and optimize batch jobs.

• Design and implement RESTful APIs using FastAPI or Flask, integrating with internal and external systems.

• Build Python services that integrate with LLM APIs for text extraction, classification, reconciliation, and summarization as part of backend workflows.

• Orchestrate multi‑step AI‑assisted workflows, validating AI outputs using business rules, SQL checks, and reconciliation logic.

• Perform Excel and PDF document processing (creation, modification, updates) to support data preparation and reporting.

• Implement logging, error handling, configuration management, and monitoring for production‑grade systems.

• Work with SQL databases to design schemas, write optimized queries, and support stored procedures.

• Write automated tests using pytest, participate in code reviews, and maintain technical documentation and SOPs.

• Collaborate with business and technical stakeholders for requirements gathering, demos, UAT, and production support.