Full Stack Engineer, Data, Python

📋 Description

• Develop and sustain the Python codebase for the main automation engine, encompassing data ingestion pipelines, standardization logic, and matching algorithms.

• Design and execute ETL middleware solutions that accurately and efficiently process, validate, and transform data from various sources.

• Construct output pipelines for Excel and PDF formats using pandas, openpyxl, and xlsxwriter to create detailed reports and reconciliation documents.

• Create responsive frontend components with React.js that allow users to engage with automation workflows and visualize outcomes.

• Convert business rules into scalable code by working closely with stakeholders to grasp matching scenarios, reconciliation logic, and classification needs.

• Develop thorough unit tests with pytest to guarantee code quality, reliability, and maintainability throughout the entire stack.

• Document matching rules and reconciliation scenarios based on interactions with stakeholders, acting as a liaison between technical execution and business needs.

• Collaborate with senior developers to design solutions that achieve a balance of performance, scalability, and maintainability.

⛳️ Requirements

• Over 4 years of experience in software development.

• More than 3 years of practical Python development with demonstrated production experience.

• Strong proficiency with pandas, openpyxl, and xlsxwriter for data manipulation and report creation.

• Solid experience in building user interfaces utilizing React.js.

• Proficient in unit testing frameworks (pytest) and version control systems (Git).

• Strong problem-solving abilities and a keen attention to detail.

• Excellent communication skills and the capability to work collaboratively within a distributed team.

• Experience with SQLAlchemy for ORM and database abstraction (desirable).

• Experience in PostgreSQL database design and optimization (desirable).

• Familiarity with Tableau or other business intelligence tools (desirable).

• Experience with ETL frameworks or data pipeline orchestration (desirable).

• Knowledge of API development and REST principles (desirable).

• Exposure to CI/CD practices and DevOps tools (desirable).

• Background in financial reconciliation or data matching domains (desirable).

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Opportunities for professional development and continuous learning.

• Flexible working hours and a supportive remote work environment.

• Comprehensive health insurance and wellness programs.

• Engaging team culture with regular team-building activities.