- Design, develop, test, and deploy data pipelines using Python to extract insights from large datasets.
- Collaborate with cross-functional teams to identify business requirements and translate them into technical solutions.
- Develop high-quality code that meets industry standards for scalability, maintainability, and performance.
- Troubleshoot issues related to data quality, integrity, and processing.
Job Requirements :
- 5-12 years of experience in Python development with expertise in NumPy, pandas, SQL (including query optimization), time series analysis.
- Robust understanding of CSV files and ability to work with structured data formats.
- Experience in data cleansing techniques such as handling missing values or outliers.
Role: Data Science & Machine Learning - Other, Industry Type: Analytics / KPO / Research, Department: Data Science & Analytics, Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Graduation Not Required Key Skills Skills highlighted with ‘‘ are preferred keyskills Python Development data anylistPandasdata mnuplationCSVData CleansingTime SeriesNumpySQLPython