AEM Developer

• 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.