Responsibilities

Design end-to-end migration architecture from SAP, Oracle, Microsoft Dynamics, legacy databases, ERP systems, and flat files into Salesforce.
Define migration scope, sequencing, rollback plans, strategy documentation, and data cleansing approaches.
Build and optimize ETL/ELT pipelines using Informatica Cloud, MuleSoft, Talend, Dell Boomi, Azure Data Factory, Python, and SQL.
Create source-to-target mappings and implement transformation, deduplication, enrichment, and reusable migration frameworks.
Execute high-volume Salesforce data loads using Data Loader, Bulk API, REST API, and SOAP API while managing governor limits.
Manage Salesforce data relationships, external IDs, and upsert strategies across standard, custom, and junction objects.
Perform data profiling, reconciliation, validation, quality-rule enforcement, and compliance activities.
Conduct mock migrations, dry runs, validation checks, UAT support, cutover planning, and post-go-live hypercare.
Collaborate with Salesforce architects, business analysts, data governance teams, and leadership on status, risks, and issues.

Requirements

Relevant professional experience in data migration, data engineering, or ETL development.
Hands-on experience migrating data into Salesforce from external systems.
Strong proficiency with Salesforce Data Loader, Bulk API v1/v2, and REST API.
Deep understanding of Salesforce standard and custom objects, relationships, and external IDs.
Expertise with Informatica Cloud, MuleSoft, Talend, Dell Boomi, or Azure Data Factory.
Proficiency in SQL and Python for data extraction, transformation, and automation.
Experience working in Agile/Scrum project environments.
A BE, MCA, bachelor's degree in Computer Engineering, Computer Science, or Information Technology, or a master's degree in Software Engineering is listed; equivalent practical experience may be considered.
Relevant certifications include Oracle Certified Implementation Specialist (Oracle Cloud) and Salesforce Certified JavaScript Developer I.
Proficiency in English is required.

Hybrid work arrangement in a regular, day-shift role based in India.
Mentorship, career development, hands-on learning, and world-class learning opportunities.
Opportunity to work on AI-powered transformation and enterprise technology initiatives.
Values-driven environment emphasizing integrity, inclusion, collaboration, and innovation.