Dice is the leading career destination for tech experts at every stage of their careers, and they are seeking a Data Engineer specializing in Salesforce Data Migration. The role involves extracting legacy data, designing data mappings, optimizing data transformation pipelines, and ensuring data quality across various Salesforce platforms.
Responsibilities:
- Extract legacy data from relational databases (e.g., SQL Server) using Azure-based services such as Azure Data Factory and Azure Synapse
- Design and implement source-to-target mappings aligned to Salesforce data models
- Build and optimize data transformation pipelines using Databricks
- Load, validate, and reconcile data across Salesforce platforms including Sales Cloud, Service Cloud, Experience Cloud, and Salesforce Marketing Cloud (SFMC)
- Conduct unit testing and support User Acceptance Testing (UAT)
- Identify data gaps and work with stakeholders to resolve inconsistencies
Requirements:
- Experience with data engineering and migration
- Proficiency in extracting legacy data from relational databases (e.g., SQL Server)
- Experience using Azure-based services such as Azure Data Factory and Azure Synapse
- Ability to design and implement source-to-target mappings aligned to Salesforce data models
- Experience in building and optimizing data transformation pipelines using Databricks
- Experience loading, validating, and reconciling data across Salesforce platforms including Sales Cloud, Service Cloud, Experience Cloud, and Salesforce Marketing Cloud (SFMC)
- Experience in data validation, reconciliation, and defect analysis
- Ability to conduct unit testing and support User Acceptance Testing (UAT)
- Ability to identify data gaps and work with stakeholders to resolve inconsistencies