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

- Solid 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.

📌 Senior Data Engineer (Kochi)
🏢 Milestone Technologies
📍 Kochi