Python Developer

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Job Summary

Python Developer

Key Responsibilities

• Design, develop, and implement robust, maintainable, and high-performing Python applications.
  
• Work with relational databases such as

  Oracle

  or

  SQL Server

  , ensuring optimized query performance.
• Develop and maintain

  data models

  to support analytical and operational requirements.
• Utilize

  Pandas

  ,

  NumPy

  , and other Python libraries for data processing and transformation.
• Automate tasks using

  Windows Batch

  or

  PowerShell scripting

  .
• Participate in all phases of the

  Software Development Life Cycle (SDLC)

  , including requirement analysis, design, coding, testing, and deployment.
• Collaborate with business and technical teams to understand requirements and deliver effective solutions.
  
• Ensure adherence to

  Agile

  or

  Waterfall

  methodologies and best development practices.
• Stay updated with emerging technologies and continuously enhance technical expertise.
  

Technical Competencies

• Strong knowledge of

  Python

  and its core features:
• Data types, functions, keyword/default/variable arguments
  
• Object-oriented programming (OOP) and magic methods
  
• File handling, regex, collections, and generators
  
• Proficiency in

  SQL

  and working with

  Oracle

  or

  SQL Server

  databases.
• Hands-on experience with

  Pandas

  and

  NumPy

  for data manipulation.
• Good understanding of

  data modelling

  and database design principles.
• Experience with

  Windows Batch

  or

  PowerShell scripting

  .
• Familiarity with

  SDLC

  ,

  Agile

  , and

  test-driven development

  practices.
• Exposure to

  system design

  ,

  database optimization

  , and

  application frameworks

  .

Domain Competencies

• 2–5 years of experience in

  Banking IT

  , preferably in

  Corporate & Institutional Banking

  .
• Knowledge of

  Capital Markets

  is an added advantage.

Behavioral Competencies

• Strong

  communication

  and

  coordination

  skills.
• Excellent

  organizational

  and

  multi-tasking

  abilities.
• High

  learning agility

  and adaptability to new technologies.
• Strong

  analytical thinking

  and

  problem-solving

  mindset.

Good-to-Have Skills

• Experience with

  data visualization

  tools.
• Familiarity with

  Python collections module

  and

  date/time manipulation

  .
• Basic understanding of

  deployment automation

  and

  code review

  processes.