Python Engineer

Title : Python Engineer

Location : Charlotte, NC

Hybrid - 3/days onsite in Charlotte office

Duration : 12 months

Client : Retail

NEED LOCALS ONLY-- ONSITE INTERVIEW

NEED LIKNEDIN

NO VIOP OR GOOGLE VOICE

NEED DOB ( MM/DD)

NEED SSN ( LAST 4 DIGITS )

NEED EXCELLENT CONSULATNT WITH EXCEL IN COM SKILLS NEED SENIORS ONLY

Proof of education degree completion along with graduating GPA -- we need this for sure

Manager Notes

• Index Funds team - some active funds
• Different approach to processing data, it's a proprietary system that is AWS Cloud Based - architecture and services
• This person should be very strong in Python and AWS
• Product Owner will conduct interviews, looking for someone with the ability to sit with the portfolio manager, process needs, come back with solutions
• Must have excellent people skills - will have a lot of client interactions and will need to translate business requirements
• AIML based platform
• Python, AWS, good communication skills are key things to look for
• Domain knowledge in financial services/investments is nice to have but not required
• 10 team members currently, half in Malvern and half in Charlotte
  
  

Position: Python Developer

They will be working as part of a full stack team that supports QEG’s cloud enabled signal generation, back testing, data, and analytics platforms. These platforms are used to manage QEG’s active, factor and alternate strategy funds.

They want a developer that is passionate about technology and adopting modern software engineering practices to build the next generation quantitative research platforms in the cloud. They will build POCs to validate patterns proposed by architecture and platform teams and help deploy AWS applications to production.

Must Haves

• 5 years of experience as a Python engineer
• Strong Python Software development experience developing Analytic applications using large data sets
• Skilled in Python (NumPy, Pandas, scikit-learn, Dash, Dask, Flask, Boto3, etc.)
• Strong SQL expertise along with experience fine tuning SQL queries.
• Experience building & supporting AWS architecture and using AWS services like EC2, CloudWatch, ECS, Sage Maker, ECS, Steps Functions, Lambda, Postgres, Aurora
• Experience with CI/CD pipeline tools like Bamboo, Bitbucket, Artifactory, Ansible
• Experience working in an Agile Development environment.
• Experience with software engineering fundamentals including object-oriented design, data structures, dependency injection, testable code, and algorithms.
• Experience with software engineering tools, such as PyCharm, VS Code, Git, and others.
• Able to write clean, maintainable code, and read code created by others.
• Highly collaborative, fast learner, willing to jump in and help wherever needed.
• Enthusiasm for learning and experimenting with new technologies, tools, and processes.