Job description

Job Description

Title: Sr. Programmer with Python, Pandas & Numpy

Duration: 9-12 month

Location: Austin, TX (Remote)

Mandatory Skills : Programming Expert, Python, Dynamic coding & Algorithm, CI/CD, Dask , Spark, Pyspark , Pandas, Numpy, C++/C#/Java.

Job Description:
Our Customer is world’s leading resource for benchmarks and investable indices. Asset managers, investment banks, and other financial institutions worldwide use Customer Environment indices as the basis of ETFs, mutual funds, futures, options, and various passive investment products.

This role contributes to building a system used for balancing the global financial market indices.

The ideal candidate will have the following :
Strong object-oriented programming skills

Expert-level knowledge of the Python programming language

Experience building full software systems and reusable libraries

Thinks about wholistic systems, design patterns, and has some architecture experience

Strives to create elegant, efficient code

Can optimize / refactor code for optimal performance

Contributes to open source or create reusable libraries

Enjoys the challenge of solving difficult and unique problems

Works collaboratively as a team player on a multi-functional Agile software team

Requirements:
8-10 years of software engineering experience.

5+ years Python experience, current on latest Python versions 3.9+.

Strong Object-oriented programming, code abstraction and design pattern experience required.

A background in other object-oriented programming languages such as Java, C# or C++ is helpful, but must also be current and proficient in Python.

Candidates will need to demonstrate systems design experience including design patterns, structure.

Detail oriented – maintain a high standard of code style, performance, testability, etc.

Demonstrated ability to maintain detailed, fine-grained unit tests and to maintain large test suites.

Strong knowledge of CI/CD pipeline scan/test/build/deploy processes. Jenkins experience preferred.

Containerized applications including Docker experience is helpful

Bachelor’s degree in Computer Science, Information Systems, Engineering or Mathematics is required, or in lieu, a demonstrated equivalence in work experience.

Nice to Have:
Algorithm and/or mathematical computation skills preferred. Ideally you would enjoy solving mathematics or statistics problems through code.

Experience with rules engines and/or DSL (Domain Specific Languages)

Pandas and Numpy library experience preferred. Bonus if having experience on distributed computing dataframe systems.

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