Senior Data Engineer – ServiceNow to Salesforce Data Migration
Key Responsibilities
- Analyze and understand ServiceNow and Salesforce data models.
- Design end-to-end data migration strategy, mapping, and transformation rules.
- Extract, cleanse, transform, and load (ETL/ELT) data from ServiceNow into Salesforce.
- Build scalable migration pipelines using tools such as Azure Data Factory, Informatica, Talend, SSIS, Python, or MuleSoft.
- Ensure data quality, integrity, reconciliation, and validation during migration.
- Handle large-volume data loads using Salesforce Bulk API and related integration mechanisms.
- Develop data migration scripts, automation frameworks, and monitoring processes.
- Collaborate with business stakeholders, Salesforce architects, and functional teams to validate migrated data.
- Manage data security, governance, compliance, and audit requirements.
- Troubleshoot migration issues and optimize performance.
- Support cutover planning, mock migrations, and production deployments.
Technical Skills
- Strong SQL and database expertise (SQL Server, Oracle, PostgreSQL, etc.).
- Experience with ServiceNow tables, CMDB, Incident, Change, Asset, and related modules.
- Experience with Salesforce objects, relationships, Data Loader, Bulk API, and Salesforce platform architecture.
- ETL/ELT tools and data integration frameworks.
- Python, Spark, or other data engineering technologies.
- Data profiling, cleansing, and master data management.
- Cloud platforms such as Azure, AWS, or GCP.
Preferred Experience
- 8+ years in data engineering and migration projects.
- Multiple large-scale enterprise data migration implementations.
- Experience with ServiceNow and Salesforce integrations.
- Knowledge of Agile project delivery and DevOps practices.
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