Responsibilities :
- Develop, test, and maintain high-quality Python applications.
- Implement Object-Oriented Programming (OOP) principles to design robust and scalable software.
- Must have experience in SDLC.
- Hands on experience on NumPy, Pandas is a must.
- Write efficient SQL queries to interact with databases and perform data manipulation.
- Create and manage interactive dashboards and reports using Power BI.
- Collaborate with cross-functional teams to understand requirements and deliver solutions.
- Continuously learn and apply new technologies, particularly Pandas and NumPy, to enhance data processing and analysis capabilities.
- Utilize Git for version control and Jira for project management to ensure smooth workflow and collaboration.
Requirements :
- Strong proficiency in Python programming.
- Solid understanding of Object-Oriented Programming (OOP) concepts.
- Experience with SQL and database management.
- Familiarity with Power BI for data visualization and reporting.
- Keen interest in learning and working with Pandas and NumPy.
- Understanding of Git for version control and Jira for project management.
- Excellent problem-solving skills and attention to detail.
- Strong communication and teamwork abilities.
Candidate Profile :
- Bachelor's/Master's degree in economics, mathematics, computer science/engineering or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply.
- 10+ years experience in application development and automation, preferably in Life Insurance but not mandatory.
- Application development experience.
- Team Management.
- Superior analytical and problem solving skills.
- Outstanding written and verbal communication skills.
- Able to work in fast pace continuously evolving environment and ready to take up uphill challenges.
- Is able to understand cross cultural differences and can work with clients across the globe.
Total Experience : 10+ years
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1681407