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Java with ETL developer

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Architect (Level: Manager)
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CREQ224656 Requisition #

Designing and Developing ETL Processes:
The candidate will be responsible for designing and implementing ETL processes to extract data from various sources, transform it, and load it into target systems. 
Java Programming for Data Processing:
Java skills are crucial for writing custom code to handle data transformations, data quality checks, and error handling within the ETL pipeline. 
Data Modeling and Database Knowledge:
Experience with data modeling concepts and relational databases (like Oracle) is essential for designing and optimizing ETL processes. 
Collaboration and Communication:
The role requires collaboration with data architects, analysts, and other developers to ensure data requirements are met and ETL processes are aligned with business needs. 
Performance Tuning and Optimization:
Candidates should be able to optimize ETL workflows for performance and scalability, minimizing downtime and maximizing efficiency. 
Testing and Validation:
Thorough testing and validation of ETL processes are required to ensure data integrity and accuracy. 
Documentation and Maintenance:
Maintaining clear documentation of ETL processes, data flows, and technical specifications is crucial for future enhancements and troubleshooting.

Designing and Developing ETL Processes:
The candidate will be responsible for designing and implementing ETL processes to extract data from various sources, transform it, and load it into target systems. 
Java Programming for Data Processing:
Java skills are crucial for writing custom code to handle data transformations, data quality checks, and error handling within the ETL pipeline. 
Data Modeling and Database Knowledge:
Experience with data modeling concepts and relational databases (like Oracle) is essential for designing and optimizing ETL processes. 
Collaboration and Communication:
The role requires collaboration with data architects, analysts, and other developers to ensure data requirements are met and ETL processes are aligned with business needs. 
Performance Tuning and Optimization:
Candidates should be able to optimize ETL workflows for performance and scalability, minimizing downtime and maximizing efficiency. 
Testing and Validation:
Thorough testing and validation of ETL processes are required to ensure data integrity and accuracy. 
Documentation and Maintenance:
Maintaining clear documentation of ETL processes, data flows, and technical specifications is crucial for future enhancements and troubleshooting.

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