We are seeking a Senior Data Engineer with strong experience in Azure Data Factory (ADF), SQL, and end-to-end data migration. The candidate will lead migration from legacy systems (SQL Server, Oracle, AS400, CSV, SharePoint) into a modern Salesforce sandboxes using Azure-based data platform.

Key Responsibilities :

- Build and manage ADF pipelines (including SHIR for on-premise sources).

- Perform data mapping from legacy systems to standardized target models.

- Execute data transformations, cleansing, validation, and quality checks.

- Implement data masking and secure access using Azure AD, Key Vault, and Private Endpoints.

- Load datasets to Salesforce QA, UAT, and Production environments.

- Optimize SQL queries and troubleshoot data pipeline issues.

- Prepare documentation: mapping sheets, reconciliation reports, runbooks.

Required Skills :

- 8- 10 years in Data Engineering / ETL.

- Strong SQL, Azure Data Factory, Azure SQL expertise.

- Hands-on experience with data migration across multiple RDBMS systems.

- Understanding of data masking, encryption, and secure data flows.

- Experience with data modeling and business entity mappings.