Data Transformation Specialist

19 hours ago

Rawalpindi Cantonment, Pakistan beBee Careers Full time
Job Summary:

The Client Integration Data Transformation Specialist is responsible for supporting the successful deployment of new and updated services. This includes managing standard and custom data feeds, creating custom Excel extracts, and integrating with GS1 data platforms.

About the Role:

This pivotal role ensures seamless data transformation and integration processes that meet client needs and project specifications. The ideal candidate will possess a strong understanding of complex data mapping and transformation procedures.

Key Responsibilities:
  • Bespoke Integration Delivery: Participate in the delivery of bespoke integrations, whether client-specific or GDSN (Global Data Synchronization Network).
  • Support data mapping, testing, and deployment activities to ensure accurate and efficient data integration.
  • Work with detailed data specifications and customer requirements.
  • Project Management: Meet project milestones and adhere to client specifications for both inbound and outbound projects.
  • Collaborate with project managers to ensure timely and successful project delivery.
  • Data Transformation Logic: Build out data transformation logic to ensure data is accurately transformed and integrated.
  • Identify test scenarios and create test data to validate the transformation processes.
  • Data Quality Assurance: Ensure data quality is maintained throughout the transformation process.
  • Implement quality control measures to detect and correct data issues.

Requirements:

To succeed in this role, you will need:
  • A strong understanding of complex data mapping and transformation procedures.
  • Experience in data integration and transformation, preferably with GS1 data platforms.
  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
  • Strong problem-solving and analytical skills, with the ability to identify and resolve data quality issues.

Benefits:

We offer a range of benefits, including flexible working arrangements, volunteer time off, access to LinkedIn Learning, and an Employee-Assistance-Program (EAP).

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