Role Purpose:-

The purpose of this role is to facilitate application solutions by developing and  reviewing module-level codes, creating replication patterns, performing root cause analysis to identify recurring issues and collaborating with internal and external stakeholders to ensure stable, well-documented deliverables that meet business objectives. 

Job Description:-

Role Summary: The Data Migration Engineer builds the extraction, transformation, and load (ETL) pipeline that moves customer data from up to six CRM sources into a staging layer and then into the new ERP, implementing the matching and deduplication logic defined by the Lead Data Architect.

Key Responsibilities:

· Build CRM (multiple Salesforce instances and Pipedrive) → staging → ERP extraction and transformation pipelines for up to six source systems.

· Implement matching, deduplication, and survivorship logic technically, in close collaboration with the Lead Data Architect.

· Define data lineage between different CRM systems and ETL process

· Develop and execute data validation and reconciliation test plans to ensure data integrity post-migration.

· Partner with business teams during User Acceptance Testing (UAT), translating technical data validation results into clear, business-friendly reports to build trust in the migrated data.

· Leverage generative AI for creating synthetic test data, optimizing ETL scripts, and documenting pipelines.

· Produce the clean, representative test dataset required for Q4 2026 UAT entry, and finalize it for Jan 1st, 2027.

· Produce the final production migration dataset for Q1 2027 cutover and contribute to project data quality KPIs.

· Build reconciliation and exception reports to surface unresolved data issues for the Business Data Steward.

· Develop catch process for any inconsistency post day 1 live with process for notification and validation.

· Create and maintain data dictionary and glossary for all the data transformations

Required Qualifications & Experience:͏-

Strong SQL and ETL development background ( possibly with Alteryx).

· Experience in performance tuning of ETL pipelines and large-scale database operations.

· Strong Salesforce data model, SFDC API, and multi-instance Salesforce migration experience

· Prior experience on at least one CRM-to-ERP or multi-source data migration project.

· Practical, hands-on experience implementing fuzzy-matching or deduplication logic.

· Familiarity with the target ERP's customer master data model.

Nice to Have:

· Experience in automotive, franchise, or multi-tier distribution data structures.

· Scripting experience (Python) for custom matching/transformation logic.