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Curious about what it’s like to work at the world’s number 1 discovery platform as a Data Engineer in Production IT ? We’re glad you asked! Taboola , the world’s largest content recommendation platform, is hiring a Data Infrastructure Engineer. What are some of the things you do on a day-to-day basis? Determine database structural requirements by analyzing R&D operations, applications, and programming; reviewing objectives with relevant business units; evaluating current systems; Develop databas

We are looking for Senior Data Engineer to join our hedge fund and manage our data operations. You will be responsible for engaging with various data vendors, designing and implementing data pipelines, and ensuring data quality and security. You will also mentor other data engineers who support the data infrastructure and pipelines of the fund. Responsibilities: Engage with various data vendors to find the best data for the fund’s investment and trading activities Evaluate data quality

【工作內容】 與產品團隊和前後端工程團隊合作，確保資料品質與產出 創建與維護Data Infrastructure Data Pipeline & ETL/ELT Data Product開發與維護

Job Overview OneDegree is seeking a Data Engineer to help us build the future of online insurance. We are seeking people with a good understanding of data governance and data engineering practices preferably in a regulated industry (i.e. Insurance, Bank). This role requires an organized individual with strong communication skills to ensure data consistency across different systems owned by different parties. You will be helping to build and maintain our data engineering infrastructure.

【Responsibilities】 1. Create and maintain optimal data pipeline architecture, assemble large and complex datasets to meet functional/nonfunctional business requirements. 2. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, redesigning infrastructure for greater scalability, etc. 3. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry l

Following corporate data protection policy, oversee readiness and effectiveness of data protection measures to design, implement and facilitate high impact training and promotion programs For overseas site data protection platform and organizational infrastructure (working team) to plan the training course and promotion activities schedule and resources Manage and leverage corporate promotion resources to fulfill localized learning and promotion needs Ensure the effectiveness of data protection

#About the Team Fazz’s Data Engineering teams are responsible for creating and maintaining the infrastructure that runs the company’s data pipeline, and optimizing the flow and collection of data for the critical business analytics and AI/data-driven solutions. The success of the team relies on the high engineering standard and the adoption of cutting-edge technology that empowers the organization to be agile. Data engineering forms the foundation to ensure that precious data

Google welcomes people with disabilities. Minimum qualifications: Bachelor's degree in Computer Science, related technical field, or equivalent practical experience. Experience collaborating with various teams such as developers, test engineers, and product management. Preferred qualifications: Experience applying AI/ML in automation or data analytics use cases. Experience developing infrastructure and tools to streamline and scale operational workflow. Experience developing back-end services or

the foundation of decentralized knowledge graph infrastructure for web3 and developing high quality products to showcase this. Our road-map is robust, and with an iterative and continuous development philosophy, we’re always building. We’re a global team that values diverse perspectives and top tier talent. We’re growing internationally with the support of top tier investors and advisors. Where do you fit in? We are seeking a seasoned Data Engineer to play a c

Description Job content: 1. Network management. 2. Firewall management. 3. Security product(e.g., WAF, Firewall, Proxy, SLB, Antivirus) and Linux management. 4. Data center management. 5. Backup system management. 6. Project management and architecture design. 7. Continuously improvement on the each jobs. 8. IT new technology survey and recommendation.