Data Migration & Integration Lead
RICEFW Technologies Inc
Jackson, MS, United States
5 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Data Architecture
Data Validation
Data Integration
Extract Transform Load (ETL)
Data Mapping
Data Migration
Data Profiling
Database Theory
Migration Manager
Systems Integration
Integration Tests
Job description
The Data Migration & Integration Lead will be responsible for planning and executing the migration of legacy MYCIDS V1 data into the new solution and for coordinating required integrations with external systems. The individual will lead data assessment, mapping, transformation, cleansing, migration rehearsals, reconciliation, validation, and migration issue resolution., * Lead migration planning for MYCIDS V1 legacy data.
- Perform source-system and legacy-data assessments.
- Profile data and identify quality, completeness, and consistency issues.
- Develop source-to-target data mappings.
- Define transformation, cleansing, and conversion rules.
- Develop and coordinate ETL and migration processes.
- Plan and execute multiple migration rehearsals.
- Validate migrated records and perform reconciliation between legacy and target systems.
- Identify and resolve migration defects, exceptions, and data-quality issues.
- Coordinate the design and implementation of the five required system integrations.
- Define interface mappings, APIs, data exchanges, and integration requirements.
- Coordinate integration testing and end-to-end validation.
- Support reporting and data-validation activities.
- Develop migration and cutover procedures for production implementation.
- Support final data migration, go-live, and post-migration reconciliation.
Requirements
- 8+ years of data migration, data integration, or data architecture experience.
- Experience with large legacy-system migrations.
- Government or public-sector system implementation experience preferred.
- ETL design and implementation.
- Source-to-target data mapping.
- Data profiling, cleansing, transformation, and validation.
- Data reconciliation.
- API and system integration.
- Data architecture and database concepts.
- Migration testing and rehearsal/cutover activities.
- Data-quality management.
- Reporting and data validation.
- Experience managing migration defects and data issues.
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