Senior Data Engineer

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.