Python Developer - 4-8 years- Gurgaon(Hybrid)

Location: Gurgaon
Discipline: Analytics
Job type: Permanent
Contact name: Nancy Thakur

Contact email:
Job ref: 40509
Published: 3 days ago

As a python developer , you will be part of the company's technical team, responsible for writing, testing and maintaining the Python code.

Location- PAN India (Hybrid)


Your Future Employer- A global analytics and digital company serving industries including insurance, banking and others 



  • Preparing the server-side logic of a web application
  • Developing the application's back-end
  • Designing and maintaining Python scripts and codes to automate tasks.
  • Stay up to date with industry best practices, emerging technologies, and IT trends.
  • Collaborating with cross-functional teams to define, design and develop new features 


  • Atleast 4+ work experience in Python, Pandas , SQL & Structured data
  • Ability to set up and manipulate python data structures like List, string, dictionaries, tuples
  • Strong expertise in pandas and numpy
  • Familiar with data exploration, visualization and comparing metrics of large csv and parquet files including partitioned parquet files.
  • Strong skills in join, merge, pivot table, grouping, window functions in python or SQL.
  • Versioning tools: Git , git push, git clone.


What is in for you-

  • A stimulating working environment with equal employment opportunities.
  • Growing of skills while working with industry leaders and top brands.
  • A meritocratic culture with great career progression.


Reach us- If you feel that you are the right fit for the role please share your updated CV at


Disclaimer- Crescendo Global specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


Profile Keywords : Python, PANDAS, SQL, Structured Data