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Popular Data Engineer title plus broad ETL/tool requirements increases candidate competition despite senior level.
Core data engineering skills transfer across industries, but ServiceNow-to-Salesforce migration expertise is somewhat domain-specific.
Explicit 8+ years requirement and mandatory ServiceNow/Salesforce migration skills raises shortlisting strictness.
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Design and execute end-to-end data migration from ServiceNow to Salesforce, including data mapping, transformation, and validation.
Develop and manage scalable ETL/ELT pipelines using tools like Azure Data Factory, Informatica, Talend, SSIS, Python, or MuleSoft for large-volume data loads.
Ensure data quality, security, governance, and compliance throughout migration and support cutover planning and production deployment.
8+ years of experience in data engineering and migration projects.
Strong expertise in SQL and databases such as SQL Server, Oracle, PostgreSQL.
Hands-on experience with ServiceNow modules (CMDB, Incident, Change, Asset) and Salesforce objects, Bulk API, and Data Loader.
Proficient with ETL/ELT tools and data integration frameworks, including cloud platforms like Azure, AWS, or GCP.
Experience managing multiple large-scale enterprise data migration implementations involving ServiceNow and Salesforce integrations.
Familiarity with Agile and DevOps methodologies related to data engineering projects.
Proven ability to collaborate with stakeholders across business, architecture, and functional teams to validate and reconcile migrated data.