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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 (likeOracle)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.
Full-Time