Python Developer - 4-8 years- Gurgaon(Hybrid)
| Location: | Gurgaon |
| Discipline: | Analytics |
| Job type: | Hybrid Jobs |
| Contact name: | Nancy Thakur |
| Contact email: | nancy.thakur@crescendogroup.in |
| Job ref: | 40509 |
| Published: | 10 months ago |
| Startdate: | 26 April 2024 - 26 April 2024 |
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
Responsibilities-
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
Requirements-
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 Nancy.thakur@crescendogroup.in
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
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