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Genpact

Global professional services for data-driven operations

Developer – Enterprise Application Salesforce

Enterprise ApplicationsConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaNo salary listedHybrid

About the Job

Requirements

  • Relevant professional experience in data migration, data engineering, or ETL development is required; no specific number of years is stated.
  • Hands-on experience migrating data into Salesforce from external systems is required.
  • Proficiency with Salesforce Data Loader, Bulk API v1 or v2, and REST API is required.
  • Understanding of Salesforce data models, including standard and custom objects, relationships, and external IDs, is required.
  • Expertise with ETL tools such as Informatica Cloud, MuleSoft, Talend, Dell Boomi, or Azure Data Factory is required.
  • Proficiency in SQL and Python for data extraction, transformation, and automation is required.
  • Experience with Agile or Scrum project environments is required.
  • A BE or MCA, Information Technology, or a related field is preferred; equivalent practical experience may be considered.
  • Bachelor's degree in Computer Engineering, Computer Science, or Information Technology, or a master's degree in Software Engineering, is listed in the qualifications.
  • English proficiency at C2 level is required.

Responsibilities

  • Design end-to-end migration architecture from source systems, including SAP, Oracle, MS Dynamics, legacy databases, ERP platforms, and flat files, into Salesforce Sales Cloud, Service Cloud, and custom objects.
  • Define migration scope, sequencing, and rollback plans, and maintain migration strategy documents.
  • Assess source-system data quality, recommend cleansing approaches, and mitigate risks.
  • Build and optimize ETL/ELT pipelines using Informatica Cloud, MuleSoft, Talend, Dell Boomi, or custom Python/SQL scripts.
  • Develop source-to-target mapping specifications and implement transformation, de-duplication, and enrichment logic.
  • Create reusable migration frameworks and templates for scalability.
  • Execute large-volume data loads using Data Loader, Bulk API, and REST/SOAP APIs while ensuring compliance with governor limits.
  • Manage complex Salesforce data model relationships involving Accounts, Contacts, Opportunities, Cases, and custom or junction objects.
  • Implement external ID and upsert strategies for idempotent migrations.
  • Perform source-data profiling, reconciliation, and validation.
  • Define and enforce data quality rules and acceptance criteria, and ensure compliance with GDPR and CCPA.
  • Produce migration dashboards and reports for stakeholders.
  • Conduct mock migration runs, dry runs, and validation checks.
  • Support UAT, lead cutover planning, and provide post-go-live hypercare.
  • Work with Salesforce Architects, Business Analysts, and Data Governance teams.
  • Present migration status, risks, and issue logs to leadership.

Desired Qualifications

  • Oracle Certified Implementation Specialist (Oracle Cloud).
  • Salesforce Administrator certification.
  • Salesforce Certified JavaScript Developer I certification.
  • Salesforce Certified Service Cloud Consultant certification.
  • Skills listed include After Sales Service, Agile Methodology, Collaboration Tools, Design Thinking, Executive Presence, Inclusion, Office 365 Deployment, Personal Effectiveness, Salesforce software, Storytelling, Vendor Management, VMware AirWatch, and Workday.

About the Company

Genpact

Global professional services for data-driven operations

Genpact is a professional services firm that helps other companies transform their operations using data, analytics, and artificial intelligence. It started inside General Electric as a back-office unit and became an independent company in 2005, growing into a global business with a focus on digital transformation and AI-powered operations. Genpact's offerings include applying data and AI to automate and optimize business processes, supported by its Cora AI platform and strategic acquisitions like XponentL Data. It shifts from traditional outsourcing to building intelligent, autonomous operations for clients. The company aims to deliver measurable business impact by turning operational processes into data-driven, automated systems that improve efficiency and decision-making.

Company size
10,001+
Company stage
IPO
Headquarters
Amherst, New York
Founded
1997

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