Staff Software Engineer, Data Platform
Oversee the strategy, architecture, and operation of Airwallex's data and AI platforms, while building a high-performing team and driving data-driven decision-making.
Syndigo gets great products chosen. Every choice in commerce, whether by a shopper, a search engine, a marketplace, or an AI assistant, is made on product data, and our software makes that data complete and trusted and moves it across the industry's largest two-sided commerce network: 15,000+ brands and 3,500+ retailers. Companies like AutoZone, Colgate-Palmolive, Dole International, Unilever, and Walgreens trust Syndigo to get their products chosen. Learn more at www.syndigo.com.
Lead Quality Engineer
Responsibilities
Experience and Skills
Preferred Qualifications:
**This is a hybrid position that requires 3 days per week in office at our Bangalore location**
To achieve the best version of our organization, we know it takes new ideas, new approaches, new perspectives and new ways of thinking. A purpose we are 100% committed to cultivating. Diversity is woven into our fabric at Syndigo and it’s how we stay an industry leader, innovating technology solutions that equip our customers with everything they need to be successful!
All are welcome here and we invite you to join our team if you are ready to help us continue that growth!
GDPR/CCPA
Syndigo, to process applications, holds onto data for a "reasonable time" after applications are submitted. This data is stored for Syndigo's internal use by HR/Recruiting Staff only. Verified requests for data deletion and exports will be completed upon request.
Syndigo Job Applicant Privacy Notice
At Syndigo, we care about your privacy. As you go through our recruitment process, we are committed to being transparent about how we process your personal data. To learn more about how Syndigo processes your personal data, go to our Job Applicant Privacy Notice.
Oversee the strategy, architecture, and operation of Airwallex's data and AI platforms, while building a high-performing team and driving data-driven decision-making.
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