Data Integration Consultant

New
J
JobgetherData integration
Based in the United StatesFull-Time
Salary not disclosed
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Job Details

Required Skills
SQLAPI testingJSON

Requirements

  • Demonstrated experience in data conversion, data migration, technical implementation, integration configuration, or related work involving data mapping, transformation, and validation.
  • Strong understanding of structured data and JSON, including objects, properties, identifiers, relationships, and custom fields.
  • Practical knowledge of data transformation techniques, formulas, conditional logic, filters, and validation processes.
  • Ability to learn and operate data integration and mapping platforms and troubleshoot configuration issues.
  • Working proficiency in SQL and API testing.
  • Understanding of SaaS integrations, APIs, authentication methods, and data synchronization principles.
  • Experience maintaining customer-specific configurations and troubleshooting data issues across connected software systems.
  • Strong analytical and problem-solving abilities, attention to detail, and commitment to data accuracy.
  • Ability to manage multiple customer configurations, maintain documentation, and adapt to changing requirements.
  • Strong written and verbal communication skills for explaining technical concepts to technical and non-technical stakeholders.
  • Ability to collaborate with Product, Engineering, Project Management, Implementation, and Customer Support teams.
  • Ability to use AI tools responsibly, verify results independently, and comply with data security and confidentiality requirements.

Responsibilities

  • Review source-system documentation, JSON payloads, and datasets to understand data structures and technical limitations.
  • Translate customer and business requirements into source-to-target data mappings.
  • Configure mappings, transformations, formulas, conditional logic, filters, and literal values in the integration platform.
  • Apply and maintain mappings for onboarding, migration, conversion projects, and ongoing integration needs.
  • Test mappings and validate results by comparing source and destination data.
  • Investigate missing, duplicated, rejected, or incorrectly transformed records and escalate platform defects with reproducible examples.
  • Maintain customer configurations as systems, data models, custom fields, and business rules change.
  • Document mapping specifications, configurations, test evidence, supported use cases, limitations, and troubleshooting procedures.
  • Support internal teams through technical documentation, training, and guidance.
  • Use approved AI tools to improve mapping, analysis, validation, and documentation while verifying outputs and following data-security requirements.
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