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About the role The Data Engineering team builds and optimizes systems spanning data ingestion, processing, storage optimization and more. We work closely with engineers and the product team to build highly scalable systems that tackle real-world data problems and provide our customers with accurate, real-time, fault tolerant solutions to their ever-growing data needs. We support various OLTP and analytics environments, including our Advanced Analytics and Digital Experience Management products.

Who we are? Change is the DNA of L'Oréal; we are constantly leading the beauty industry to go beyond. In 1909, we began as a small store selling hair dye. Today, we have a portfolio of 36 international brands and a global presence in 150 countries. At L'Oréal, there are 6 Zone Business Services Centers supporting the Group. Our L’Oréal Global Business Services, with mission of providing excellence Finance Services, improving operational performance

SCH design and review Production specification study and proposal work out PCB layout review and design guide check Function verification and issue debug Team member lead.

>>知名流通與零售的本土跨國企業 JD 1. 維持資料庫正常運作，資料庫異常狀況及使用者需求處理。 2. 資料庫效能報表分析/判讀，提供有效解決方案。 3. 專案對應/資料庫架構規劃及建

Assist client to prepare data migration to Jurnal Consult and provide suggestions for clients’ data migration Maintain and validate clients’ data during migration #VCF2023

We are looking for bright engineers who enjoy systems level programming, network devices and distributed systems. The role is that of a hands-on technical Date Plane Software Engineer to implement 4G/5G Interworking Network functions for the Ataya solution. You will be responsible for developing Core networking multi-threaded applications built on microservices for easy deployment on Kubernetes platforms. You will translate customer features into optimized and scalable network function implement

【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

Google welcomes people with disabilities. Minimum qualifications: Associate's degree or equivalent practical experience. 2 years of experience working with and troubleshooting server hardware and network-related issues using Linux based tools. Experience with LPIC or working with Linux (e.g., Red Hat, Slackware, Fedora, SUSE, Ubuntu, Debian, Gentoo), Unix (e.g., Solaris, AIX, HP-UX, BSD), or other similar OS. Preferred qualifications: Experience leading project teams on larger installations and

Responsibilities: Performing engineering management duties such as planning, engineering design, tender, QA and commissioning to support the MEP and Building Services Project Manager Liaise with clients, project managers, contractors, lead projects and produce construction designs May station on construction site as resident engineer representing design team or commissioning team. Benefits: 5-day working week Annual leaves National Health Insurance, Retirement Scheme, Labour Insurance Performanc

和維護高效的數據流程和數據工具，並與跨功能團隊合作實現目標，為組織的關鍵決策提供強而有力的支持! What You’ll Be Doing: • Design, implement and work on Data engineering , contribute and suggest Data Architecture, Data Quality, Data Governance across pods • Establish data governance processes, procedures, policies, and guidelines to maintain the integr