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 data integration engineer


Data Integrations Engineer at Riskified - New York

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Riskified empowers merchants and shoppers to realize the full potential of eCommerce by making it safe, accessible, and frictionless. Our global team helps the world's most-innovative eCommerce merchants eliminate risk and uncertainty from their business. Merchants integrate Riskified's machine learning platform to create trusted customer relationships, driving higher sales while reducing costs. Riskified has reviewed hundreds of millions of transactions and approved billions of dollars of revenue for global brands and fast-growing businesses across industries, including Wayfair, Wish, Peloton, Gucci, and many more. As of July 29th, 2021, Riskified has begun trading on NYSE under the ticker RSKD.


Data Integration Engineer (Remote) at Boldr - Mississauga, Ontario, Canada - Remote

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Our client is on a mission to build smart, inspired, and useful products for faculty and academic communities. By building an engine for faculty activity, decisions, and data, they have become the first mover in defining and owning the category of faculty-focused technology that cultivates goal-oriented collaboration around academic decision-making. Our client operates the first holistic faculty information system to support the full lifecycle of faculty work, from job seeking to review, tenure, sabbatical, committee work, research, and beyond. Offering colleges and universities increased clarity and insight into faculty data to help achieve their strategic initiatives, they believe that advancing the faculty will advance the institution. They have crafted a fun, collegial, dynamic culture that celebrates team and individual success almost daily.


Data Integration Engineer(Apache Nifi)

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KredX is an online Bill Discounting Platform established in 2015 by a clutch of bankers and techies from IIT Kanpur & Stanford to disrupt the trade receivables discounting space in India. It has offices in Bangalore, New Delhi & Mumbai with total team size of around 55 spread across these three locations. KredX is also a series A Sequoia Capital funded company with established business model & growth avenues across the entire trade receivables space in India and already boasts of several large corporate as its clients. We are looking for an experienced Apache NiFi developer, who is passionate about building applications in the Cloud to read vast variety of data from disparate systems and transform them into usable formats. Primary responsibilities of the candidate will include - Integrate various ERP endpoints and transactional/nosql database systems - Ensure data synchronization well within accepted SLA and TAT defined - Closely work with the Product Manager and Engineering Manager for product and tech enablement - Create, execute, monitor and maintain interfaces supporting multi-tenancy mode - Daily Monitoring of the applications running on production.


Data Integration Engineer

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We are seeking a collaborative, curious, and enthusiastic Software Engineer to help build our scalable file processing engine ("Hydra") and the customer-specific processes that use this engine. You would have the opportunity to work with APIs, backend services, our deployment pipeline, AWS, Kubernetes, and more. As part of the Extended Integrations team, you would also have the opportunity to work on customer-specific integrations, which would expose you to real world problems and allow you to make an immediate impact. We use a number of pretty neat technologies including node, mongo, and typescript, and we deploy roughly every two weeks – so nothing sits on the shelf very long. Clarabridge helps hundreds of the world's leading brands understand and improve their customer experience.


Data Integration Engineer - IoT BigData Jobs

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C3 IoT has an opening for a Data Integration Engineer. You will be required to create advanced application integration solutions and configure, deploy and enhance enterprise cloud applications. C3 IoT product suite is entirely data-driven, so a great candidate will have a passion for acquiring, analyzing, and transforming data to generate insight. Qualified candidates will have a solid knowledge of integration and data manipulation technologies.