Staff Data Engineer overseeing complex data systems for CITY Furniture. Responsible for architecting and optimizing data ecosystems in a hybrid work environment.
About the role
- Data Migration Consultant responsible for migrating various data types into Microsoft Dynamics 365 CE. Analyze structures, develop mapping documentation, and ensure data integrity during migration.
Responsibilities
- Analyze source system data structures, including customer profiles, accounts, vehicles, transponders, payment methods, transactions, violations, invoices, and billing records
- Identify critical data relationships, parent/child hierarchies, and foreign key dependencies
- Develop detailed data mapping and transformation documentation from source systems to Dynamics 365 CE entities (standard and custom)
- Build, test, and execute ETL pipelines using tools such as SSIS/KingswaySoft, Azure Data Factory, Power Platform Dataflows, or custom .NET utilities
- Perform data cleansing, normalization, deduplication, and standardization to meet Dynamics CE data model requirements
- Execute multiple migration cycles, including test loads, validation, and final production migration
- Ensure referential integrity, high data quality, and accuracy of historical data
- Generate reconciliation reports, resolve data inconsistencies, and troubleshoot migration errors
- Document migration strategies, execution runbooks, and transformation rules for future reference
Requirements
- 8-12 years of proven experience migrating data from tolling systems, transportation platforms, legacy CRMs, or other high-volume transactional systems
- Strong SQL skills for complex queries, stored procedures, data transformation, and data validation
- Hands-on experience with Microsoft Dynamics 365 CE / CRM data model, entities, and relationships
- Proficiency with ETL/migration tools: SSIS with KingswaySoft, Azure Data Factory, Power Platform Dataflows, Custom C#/.NET migration scripts
- Experience with large-scale migrations involving millions of records
- Strong understanding of relational data structures such as: Customer ⇄ Account ⇄ Vehicle ⇄ Transponder ⇄ Transaction
- Ability to analyze large datasets, identify anomalies, and resolve inconsistencies
- Bachelor’s degree in engineering or a bachelor’s degree in technology from a recognized university
Benefits
- Equal opportunity employer
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