Seeking two Data Conversion Specialists to facilitate the migration of data from PeopleSoft to the Oracle FDIP (Fusion Data Intelligence Platform) system ensuring data integrity and optimal performance. As a Data Conversion Specialist they will be responsible for extracting transforming and loading (ETL) data from PeopleSoft into FDIP. They will also need to possess front end development skills to develop reports and dashboards as required. They will ensure that data is accurately migrated and optimized for reporting and analytics collaborating with various teams to achieve project goals.
Minimum Requirements: :
Bachelors degree in Computer Science Information Technology Data Science or a related field.
5 experience in data migration projects specifically from PeopleSoft to a Cloud Based Data Warehouse system.
Strong proficiency in SQL for data extraction and manipulation
8 Experience with ETL tools and data integration techniques.
Experience with databases such as ORACLE SQL Server SYBASE INFORMIX and DB2.
Familiarity with data warehousing concepts data modeling and reporting tools.
Excellent analytical problem-solving and communication skills. Strong attention to detail and commitment to data accuracy.
Preferred Skills:
Experience with cloud-based Data Warehouse solutions (e.g. Oracle FDIP Snowflake Amazon Redshift Google BigQuery).
Relevant certifications in data management or ETL tools are a plus.
Duties
Analyze the existing data structures in PeopleSoft and confirm the necessary transformations for Data Warehouse compatibility. Extract data from PeopleSoft using SQL and other relevant tools. Creation of efficient data structures that support reporting and analytics (expertise in dimensional modeling and entity-relationship (ER) modeling) Develop and implement data transformation processes to clean standardize and enhance the quality of the data during migration. Create data mapping documents that outline the relationships between source and target data fields. Design and implement ETL processes to load data into the Data Warehouse ensuring efficient performance and data integrity. Utilize ETL tools for data integration. Validate data accuracy and completeness post-migration to ensure that all data has been successfully transferred. Work closely with business analysts data architects and stakeholders to understand data requirements and ensure alignment with business objectives. Familiarity with data governance compliance and data security protocols including encryption data masking and compliance with regulations (e.g. PII HIPAA) Recommending and analyzing the possibility of Cloud Data Warehousing
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