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We are proud to present you with the following opportunity.
About Our Client:We help Enterprise Shopify Plus Merchants with everything from custom built site optimizations to brand new eCommerce design & development from scratch. We've supported more than 1,000 Shopify stores, covering D2C, B2B, Wholesale, and Point of Sale (POS).
We've helped merchants generate more than $1.5 billion in revenue, in both private & public sectors, and received 28 Commerce Awards and over 500 five-star reviews in the process.
This is a contract-to-hire-opportunity (6 months contract and then FTE with the client). Allowed locations: Argentina, Columbia, Brazil. 100% Remote. Role overview:We are looking for a skilled Full-Stack Shopify Developer (Data Migration Specialist) to join our team. You will be responsible for executing seamless data migrations from various ERP systems and e-commerce platforms to Shopify, ensuring data integrity and consistency throughout the process. Your expertise will enable businesses to transition smoothly to Shopify without compromising on accuracy or performance.
Process: Vetting Call with Workana Technical Assessment in Shopify Interview with Client Key Responsibilities: Perform data migrations from ERP systems such as NetSuite, Microsoft Dynamics 365, and Acumatica to Shopify. Migrate data from e-commerce platforms like Magento, Salesforce, and BigCommerce to Shopify. Ensure data integrity, accuracy, and consistency during migration processes. Utilize automation and scripting tools to streamline migration workflows. Collaborate with stakeholders to understand data requirements and customize migration strategies accordingly Experience with data migration tools and methodologies. Strong understanding of ERP systems and their data structures. Proficiency in scripting and automation tools (e.g., Python, Ruby, or other relevant languages). Familiarity with Shopify's data architecture and API integration. Knowledge of e-commerce platforms and their data management practices. Strong problem-solving skills with attention to detail and data accuracy.