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• UG :- - Not Required

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• No of position :- ( 1 )

• Post :- 18th Jul 2024

1. Utilize excellent hands-on PL/SQL skills to design and implement data warehouse subject areas.

2. Develop high performing extraction, transformation and loading (ETL) routines for loading data from our production database into the data warehouse.

3. Create PL/SQL that performs well with large data sets, is written to scale for future growth and adheres to business rules.

4. Effectively integrate new lines of business into the DW requiring the addition of new data sources into existing tables and data marts.

5. Share knowledge and PL/SQL expertise and mentor team members in the design of efficient reporting queries.

6. Team with engineering, IT and business stakeholders to support projects of varying complexity; gather reporting and data warehousing requirements, evaluate best approach and propose solutions.

Oracle Data Warehouses on Oracle, primarily in Informatica, PL/SQL, and Python

Able to design and working with large data models, including ability to refine and tune these processes accordingly.

Able to validate Data Quality each step of the process.

Able to work independently, as well as lead small sub-teams.

Must have demonstrated ability to build, modify, and interpret the data models associated with data warehouses, data marts, and reporting.

Must be able to communicate effectively with technical and non-technical staff.