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Senior Python Developer with Pandas

Senior Python Developer with Pandas
Seargin
remote
1 month 3 weeks ago

Role:

Python Developer (with Pandas)

Model:

Remote

Industry:

IT Consulting

Duration:

LONG TERM

Start:

ASAP

Recruitment process:

  • 2 interviews

Language:

English (B2+)

A new urgent demand is on the horizon!

Qualifications:

The ideal candidate will work closely with the business to build highly efficient, complex business applications. The ideal candidate will possess:

Essential:

  • Minimum 4 years’ experience delivering technology solutions/applications, ideally in a financial environment.
  • Excellent understanding of Python, and experience delivering applications with these technologies.
  • Experience of Pandas is a must.
  • Ability to code in an object-oriented manner.
  • Experience of unit and end-to-end testing.
  • Experience using version control (git).
  • Eager to use and learn different technologies.
  • Knowledge of SQL– Stored Procedures & Database Architecture.
  • Web experience is desirable but not essential.
  • Experience working with Agile methodologies.
  • Ability to face off with business users to gather requirements, set expectations & maintain relationships.

Other:

  • Knowledge of Financial Instruments is desirable but not essential.
  • Ability to work on multitasking.
  • Strong technical writing skills and ability to communicate, verbally and in writing, analytical concepts to a range of client and internal audiences.
  • Strong attention to detail; action-oriented attitude; and willingness to roll up sleeves.
  • Knowledge of any other scripting languages like Perl is desirable.
  • Team player with collaborative and strong interpersonal skills.
  • Superior organizational skills, self-starter, and ability to perform under pressure and manage tight deadlines in a fast-paced, high-intensity environment.
  • A graduate degree is highly desirable.
  • Fluent English is a prerequisite.

Are you ready? Apply now 😊

Expertise level

Work arrangement

Key skills

SQL

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