Job Description
- Application Development : Design, develop, and maintain Python applications and scripts tailored to meet business requirements.
- Code Quality : Write clean, efficient, and well-documented code. Adhere to coding standards and best practices.
Data Processing and Analysis :
- Data Manipulation : Use Pandas and NumPy for data cleaning, transformation, and analysis.
- ETL Development : Develop and manage ETL (Extract, Transform, Load) processes using PySpark to handle and process large datasets.
Big Data Management :
- PySpark Development : Design and implement PySpark jobs for large-scale data processing. Optimize Spark applications for performance and resource efficiency.
- Performance Tuning : Identify and resolve performance bottlenecks in PySpark jobs and SQL queries.
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