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The Data Platform team enables our customers to ingest and perform real time analytics on critical security insights and intelligence data stored in our vast Data Lake and empower internal engineering teams to leverage the best datastore technology for their needs. Our Big Data technology stack consists of Kafka, Google PubSub, ClickHouse, Google BigQuery etc. We’re looking for software engineers with a background in distributed systems and are excited about the opportunity to work on large-scal

About: A pioneering Crypto Derivatives Hybrid Exchange that blends the efficiency of centralized exchanges with the security of decentralized platforms. Supported by industry giants and technological innovators and benefits from substantial funding and strategic partnerships. Its wide array of trading options and large user base establish it as a prominent player in the crypto exchange arena. Job Responsibilities: Designing and executing backend systems to process real-time trading data, priorit

*** If you're interested in this position, please email your English resume to HR Janet. ([email protected]) *** 【About Us】 SHL Medical is the world-leading solution provider in the design, development, and manufacturing of advanced drug delivery systems with more than 5000 employees worldwide. Our customers include top pharmaceutical and biotech companies from around the globe that require innovative devices such as auto injectors or pen injectors to effectively deliver their

Hey There! Want to help develop a world-class SaaS, right here in Taiwan? Want to work with some of the best growth talents, managers, and developers in a culturally diverse environment? Join CreatorDB! We are a fast-growing startup! Leveraging knowledge in big data and AI development to get deep analysis in the industry, we are providing data and developing SaaS, and working with the top influencers and creators worldwide. We help companies run marketing campaigns with social

履歷，於 104 投遞者恕不受理，謝謝你的協助＊ 1. Conduct data science projects to help clients drive solutions and solve business problems from various domains using a wide range of data science techniques, including but not limited to Machine learning, data visualization, statistics, and so on. 2. Design, develop and maintain scalable automated machine learning and data science pipelines and applications to empower users to extract valuable results

Google welcomes people with disabilities. Minimum qualifications: Bachelor's degree in Engineering, Supply Chain, a similar field, or equivalent practical experience 10 years of experience in Product Lifecycle Management (PLM), Product Data Management (PDM), or a similar role Experience in program management and leading cross-functional projects Experience in engineering change order (ECO) processes Experience in Materials Management (Material Disposition, Materials Requirements Planning, Invent

Google welcomes people with disabilities. Minimum qualifications: Bachelor’s degree or equivalent practical experience. 1 year of experience with data structures or algorithms. 1 year of experience with software development in one or more programming languages (e.g., Java, Python, C, C++, TypeScript). Preferred qualifications: Experience working with developers/partners on debugging and troubleshooting technical issues. Experience in LLM and machine learning. Experience developing developer tool

About the role The Netskope Foundation Services team architects and designs services that provide reliable, scalable and high performance core functionalities for the Netskope Cloud. Which includes a configuration synchronization service propagating 100GB configurations per day across 80 data centers, and a notification aggregation service aggregating 3k events/second before sending to customers. What’s in it for you In this role, you will manage an engineering team and contribute to building ou

Leading foundry management product engineering team Enhancing product development and increasing yield through collaboration with the Foundry. Effectively managing all NPI issues across teams, ensuring adherence to schedule and guiding the transition to mass production. Producing meticulously organized characterization reports, analyzing data thoroughly to identify strengths and weaknesses in mass production implementation. Proficiently communicating with customers and vendors, adept at facilita

About us Gogolook is a leading TrustTech company established in 2012. With "Build for Trust" as its core value, it aims to create an AI- and data-driven global anti-fraud network as well as Risk Management as a Service. From multi-communication to fintech, and SaaS, Gogolook creates trustworthy empowerment with the use of technology in various fields. A founding member of the Global Anti-Scam Alliance (GASA), Gogolook has also teamed up with a number