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Senior Python Developer (NY or VA locals Only)

  • Full Time, onsite
  • eSolutionsFirst, LLC
  • On Site Hybrid, United States of America
Salary undisclosed

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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 Pandas, Pytest, numPY, and SQL

Python Developer Sr.

Position Overview:

Freddie Mac s Investments & Capital Markets 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, Mercury+. 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 Mercury+.
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, pytest, numpy, 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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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