- Develop and maintain data processing applications using Python.
- Design and implement ETL workflows for large datasets.
- Process, clean, and transform structured and unstructured data.
- Develop automation scripts for data operations.
- Work with SQL databases and optimize queries.
- Ensure data quality, validation, and reconciliation.
- Collaborate with business and technical teams.
Preferred Candidate Profile
- 2-5 years of Python development experience.
- Solid experience with Pandas and NumPy.
- Good SQL and database skills.
- Experience in ETL and data processing projects.
- Knowledge of automation and scripting.
- Strong analytical and problem-solving skills.