Salesforce Data Migration Engineer
Tech Stack / Keywords
Firma i stanowisko
EPAM is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, they empower clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.
Wymagania
- 5+ years of IT experience including 3+ years hands-on Salesforce Data Migration on enterprise-scale implementations
- Experience with at least one major Salesforce CPQ/Billing migration
- Understanding of CPQ data structures and relationships (Quote Lines, Subscriptions, Contracts)
- Proficiency in Salesforce ETL tools such as MuleSoft, Informatica, Talend, or Jitterbit
- Skills in data loading tools such as SF Data Loader, Copado, and Salesforce DX
- Strong SQL skills and data modeling experience
- Experience managing high-volume datasets with millions of records
- English proficiency at B2 level or higher
Nice to have:
- Salesforce Certified CPQ Specialist
- Salesforce Certified Data Architect (in progress or held)
Obowiązki
- Build and execute extraction, transformation, mapping, validation, and loading (ETL/ELT) processes as defined in the data migration strategy
- Contribute to code reviews and adhere to technical standards and validation protocols established for the migration team
- Execute rollback and disaster recovery procedures during mock and production cutovers, flag issues, and support rapid resolution
- Execute migration of complex, relational CPQ data such as Product Catalogs, Price Books, Quote templates, Subscriptions, Assets, and Contracting hierarchies while maintaining referential integrity
- Collaborate with Salesforce Architects and Technical Lead to map legacy financial and billing data into Salesforce ARM and CLM data structures
- Troubleshoot and resolve data mapping issues unique to CPQ, including active subscription contracts and historical pricing rules
- Apply data profiling and cleansing standards to ensure high-fidelity, deduplicated data loads
- Follow data security and compliance requirements to meet regulatory and enterprise data governance
- Build and run automated validation scripts for pre- and post-load reconciliation supporting financial data accuracy
Benefity
- Work with top technical minds focused on AI, cloud, and digital platform modernization
- Supportive team and agile, startup-like culture
- Hybrid work mode with remote work opportunity within Poland
- Chance to work abroad for up to 60 days annually
- Business-driven relocation opportunities
- Career development programs including mentoring, soft skills, and well-being
- Certification programs (Anthropic, Gemini, GCP, Azure, AWS)
- English classes
- Stable pay
- Participation in Employee Stock Purchase Plan with 15% discount
- Benefits package including health insurance, multisport, shopping vouchers
- Referral bonuses up to $2,000
- Offices with entertainment and relaxation zones, table tennis, football, free snacks, and coffee
- Corporate social and well-being events
Inne informacje
Klikając w przycisk „Aplikuj” lub w inny sposób wysyłając zgłoszenie rekrutacyjne, zgadzasz się na przetwarzanie Twoich danych osobowych przez EPAM Systems (Poland) sp. z o.o. z siedzibą w: Fabryczna 1A, 31-553 Kraków (Pracodawca), jako administratora danych osobowych w celu przeprowadzenia rekrutacji na stanowisko wskazane w ogłoszeniu zgodnie Polityką Prywatności dostępną na stronie: https://www.epam.com/applicant-privacy-notice
EPAM Systems
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