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.
Database Management :
SQL Queries : Write and optimize SQL queries for data retrieval, manipulation, and reporting. Ensure data integrity and efficiency in database operations.
Database Design : Assist in the design and maintenance of database schemas to support application and reporting needs.
Testing and Quality Assurance :
Unit Testing : Develop and execute unit tests to ensure code functionality and reliability.
Debugging : Identify, troubleshoot, and resolve issues or bugs in code and data processes.
Documentation and Reporting :
Technical Documentation : Document code, processes, and workflows for clarity and future reference.
Data Reporting : Generate reports and visualizations to present data insights to stakeholders effectively.
Collaboration and Communication :
Cross-functional Teamwork : Collaborate with data scientists, analysts, and other developers to integrate and utilize data solutions effectively.
Stakeholder Communication : Communicate technical concepts and project status to both technical and non-technical stakeholders.
Continuous Improvement :
Learning and Development : Stay current with industry trends and emerging technologies to continuously improve technical skills and development practices.
Process Improvement : Identify opportunities for process improvements and implement changes to enhance efficiency and effectiveness.