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Prepare data modeling, pipeline design, SQL at scale, debugging late/incorrect metrics, and stakeholder communication for payments KPIs. Expect system design for analytics platforms plus behavioral ownership examples.
Strong fit if you ship trustworthy analytics data for consumer or fintech products and want on-site work at Google in Singapore on payments product analytics.
As Senior Data Engineer, Product Analytics, Payments at Google in Singapore, expect pipelines and models that power payment product metrics: reliable ETL, experiment-ready tables, and partnering with PMs/analysts on funnel and risk signals—not inventing product scope beyond the title.
Prioritize SQL and warehouse modeling, streaming/batch orchestration, data quality testing, experiment-friendly schemas, and payments domain metrics (auth, capture, refunds, fraud). No cert list was provided.
No—the listing marks remote as 0; location is Singapore.
Google focuses on search, advertising, cloud, software, AI, and related tech products under Alphabet.
No cert family or resources were supplied for this listing.
Website: google.com
Google LLC is an American multinational technology corporation focused on information technology, online advertising, search engine technology, email, cloud computing, software, quantum computing, e-commerce, consumer electronics, and artificial intelligence (AI). It has been referred to as "the most powerful company in the world" by the BBC, and is one of the world's most valuable brands. Google's parent company Alphabet Inc. has been described as a Big Tech company.
Public cache only — not an employee review.
Senior Data Engineer, Product Analytics, Payments at Google in Singapore About the Role The Senior Data Engineer role at Google in Singapore focuses on designing and deploying data pipelines for product analytics. You will be responsible for managing data schemas, processing large volumes of data, and ensuring data integrity across various payment systems. Key Responsibilities Design and deploy robust data pipelines using Python and SQL Manage complex data schemas to support diverse analytical needs Process and transform large datasets efficiently for analytics purposes Ensure high-quality, reliable data delivery across multiple payment systems Collaborate with cross-functional teams to identify and implement data-driven solutions Requirements Bachelor’s degree or equivalent practical experience 5 years of experience coding in Python and SQL 5 years of experience designing and deploying data pipelines, including managing data schemas and processing large volumes of data A current right to work in Singapore without requiring sponsorship from Google More About Google Google is a global leader in technology, innovation, and data-driven solutions. As a Senior Data Engineer at Google, you will contribute to cutting-edge projects that impact millions of users worldwide. Our team values collaboration, creativity, and continuous learning. Ready to Apply? To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.
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