ironquill.tech/board

$ cat jobs/integration-engineer-customer-data-platform-cdp-blend360-9aec9ec4cdb7.json

Integration Engineer - Customer Data Platform (CDP)

Blend360·Worldwide·Montevideo, UY·mid
data science
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Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com We are looking for an Integration Engineer to help design, build, and maintain solutions that connect different data sources and platforms. This role will focus on creating reliable data flows, integrating systems through APIs, and supporting customer data initiatives by ensuring information is accurately collected, processed, and made available across platforms. The ideal candidate has experience working with data integrations, APIs, customer data platforms (CDPs), and modern data technologies. Experience working across different systems, troubleshooting data flows, and collaborating with technical and business teams to deliver scalable solutions is required. Responsibilities Design, develop, and maintain integrations between different systems and platforms using APIs and other integration technologies. Build and support data pipelines that enable the movement and availability of customer data across platforms. Work with customer data platforms (CDPs) and related technologies to support customer data management and activation initiatives. Implement solutions for data matching, identity resolution, and the management of customer identifiers across different systems. Ensure data quality, consistency, and reliability across integrated platforms. Troubleshoot integration issues and identify opportunities to improve existing proc

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