Oracle Data Migration Developer

3 weeks ago

Any LocationBangalore, IN INSIGHT GLOBAL SOLUTIONS Full time

Must-haves :

- Bachelor's degree in Computer Science, Information Systems, or a related field.

- 2+ years in Oracle Cloud Fusion projects.

- 3+ years of experience as a Data Conversion Developer with a focus on Oracle fusion data migration.

- Strong T-SQL skills for data querying and manipulation.

- SSIS experience.

- Experience with Oracle Fusion Projects Module.

- Effective communication skills for collaboration with cross-functional teams, business analysts, and stakeholders.

- Strong problem-solving skills and attention to detail.

- Plusses.

Day-to-Day :

- Insight Global is looking for an Oracle Integration Cloud Consultant to join one of our largest non-profit clients.

- This individual will be joining a large initiative to migrate their Financial System from JD Edwards to Oracle Fusion Finance.

- This position will sit fully remote in India and will need to work UK hours (part-time CST hours).

Data Extraction :

- Extract data from various source systems, including flat files, spreadsheets, legacy databases, and external APIs.

- Develop and optimize SQL queries and scripts for efficient data retrieval.

Data Transformation :

- Perform data cleansing, validation, and transformation to ensure data quality.

- Convert data from source formats to Oracle-compatible formats.

- Apply business rules and data mapping for aligning source data with target data structures.

ETL Development :

- Develop and maintain ETL (Extract, Transform, Load) processes using standard tools.

- Handle data integration tasks, including aggregation, enrichment, and consolidation.

Error Handling :

- Implement error-handling mechanisms to identify and address data conversion issues.

- Monitor and log data conversion errors, creating processes for error resolution.

Performance Tuning :

- Optimize data conversion and ETL processes for performance and scalability.

- Identify and address bottlenecks in data conversion workflows.

Data Quality Assurance :

- Conduct data quality assessments to ensure accuracy and completeness.

- Implement data validation and quality checks to identify and rectify anomalies.

Documentation :

- Create documentation for data conversion processes, including data dictionaries, flowcharts, and technical specifications.

- Testing and Validation : Plan and execute data conversion testing, including unit testing, integration testing, and user acceptance testing.

- Data Security : Implement data security measures to protect sensitive and confidential information.

- Ensure compliance with data privacy regulations and company policies.

(ref:hirist.tech)

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