- Develop and maintain data processing applications using Python.
- Design and implement data transformation and ETL workflows.
- Process, clean, and analyze large datasets.
- Develop reusable scripts and automation solutions.
- Optimize data processing performance and reliability.
- Work closely with business and technical stakeholders.
- Ensure data quality and consistency across systems.
- Troubleshoot and resolve production issues.
Preferred Candidate Profile:
- 2-5 years of hands-on experience in Python development.
- Robust experience with Pandas and NumPy.
- Good knowledge of SQL and database concepts.
- Experience in data processing and ETL development.
- Strong analytical and problem-solving skills.
- Experience working with large datasets.
- Good communication and collaboration skills.