The developer must have hands on development experience using Python ver. 3+, Python libraries (Pandas (Critical for this role), NumPy) and a solid understanding OOP concepts. Additionally, the developer must also have experience with web frameworks like Flask OR Django, GIT, integrations etc.
Must Have Qualifications: 5+ years of experience in a Technical background using Python, Industry experience, understanding of accounting systems and accounting concepts, data libraries including Python libraries (Pandas, NumPy), Pytest and SQL
Overview:
The Client’s division is currently seeking a talented Python Developer who is proficient in Finance/Accounting and modern SaaS technologies to work on our strategic forecasting analytics platform. The developer will assist the team with new features, defect fixes, technical debts, and migration efforts for both our customer facing and internal services in each stage of software development – including hands-on development, database operations, automated testing, and production maintenance.
Responsibilities:
Interact directly with corporate finance and accounting teams to understand, document, and drive solutions to business requirements.
Design, develop, test and support our forecasting services within the division.
Fix defects and address technical debts to ensure best software development practices are met.
Write clean, robust, high-quality code following best practices backed by automated unit and integration tests with >80% line coverage.
Coordinate with the rest of the team working on different layers of the infrastructure.
Assist with the infrastructure upgrades and adoption of new technologies.
Commit to collaborative problem-solving, sophisticated design, and quality product.
Qualifications:
5+ years of hands-on professional Python development experience.
Financial/accounting acumen to understand business requirements and adequately test features that need to be delivered.
Working knowledge of design patterns, OOP principles, data structure and algorithm optimization.
Strong background in developing scalable applications and services based on Python frameworks such as Pandas, NumPy, Pytest and Flask.
Experience with build and integration tools, including knowledge of Python workflow tools, Jenkins, Git and Docker.
Familiarity with database technologies such as SQL Server, Sybase, Redis, MongoDB and so on.
Financial/technical knowledge may be demonstrated through education, training, and/or experience.
Preferred Skills:
Master’s degree in Computer Science or equivalent work experience.
Experience working with large datasets and optimizing code for high performance.
Experience writing automated unit, integration, regression, performance, and acceptance tests.