1. ETL Development: Design develop test and deploy ETL processes using ETL tools (ODI) to extract
transform and load data into various data warehouses and systems.
2. PL/SQL Development: Write complex PL/SQL queries to extract manipulate and analyze data from
relational databases (e.g. Oracle SQL Server).
3. Data Modeling: Develop and maintain data models data dictionaries and data mappings to ensure
data consistency and integrity.
4. Data Quality: Identify and resolve data quality issues ensuring data accuracy completeness and
2
Classification: PrivateFAB HRStaff data
consistency.
5. Collaboration: Work closely with business stakeholders data analysts and data scientists to gather
requirements design solutions and implement data integration projects.
6. Testing and Deployment: Test ETL processes and PL/SQL queries to ensure data integrity and deploy
changes to production environments.
7. Performance Optimization: Optimize ETL processes and PL/SQL queries to improve performance
scalability and reliability.
8. Documentation: Maintain accurate and up-to-date documentation of ETL processes PL/SQL queries
and data models.
1. ETL Development: Design develop test and deploy ETL processes using ETL tools (ODI) to extracttransform and load data into various data warehouses and systems.2. PL/SQL Development: Write complex PL/SQL queries to extract manipulate and analyze data fromrelational databases (e.g. Oracle SQL Serve...
1. ETL Development: Design develop test and deploy ETL processes using ETL tools (ODI) to extract
transform and load data into various data warehouses and systems.
2. PL/SQL Development: Write complex PL/SQL queries to extract manipulate and analyze data from
relational databases (e.g. Oracle SQL Server).
3. Data Modeling: Develop and maintain data models data dictionaries and data mappings to ensure
data consistency and integrity.
4. Data Quality: Identify and resolve data quality issues ensuring data accuracy completeness and
2
Classification: PrivateFAB HRStaff data
consistency.
5. Collaboration: Work closely with business stakeholders data analysts and data scientists to gather
requirements design solutions and implement data integration projects.
6. Testing and Deployment: Test ETL processes and PL/SQL queries to ensure data integrity and deploy
changes to production environments.
7. Performance Optimization: Optimize ETL processes and PL/SQL queries to improve performance
scalability and reliability.
8. Documentation: Maintain accurate and up-to-date documentation of ETL processes PL/SQL queries
and data models.
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