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Core Responsibilities: • Development: Build, maintain, and optimize data pipelines and databases. Ensure data quality and efficiency. 開發：建立、維護及優化資料管道和資料庫。確保資料品質和效率。 • Maintenance: Monitor data systems, perform backups, and keep databases up-to-date and secure. 維護：監控資料系統，進行資料備份，保持資料庫更新

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

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

- Develop data records management processes and policies - Identify areas to increase efficiency and automation of processes - Set up and maintain automated data processes - Identify, evaluate and implement external services and tools to support data validation and cleansing - Produce and track key performance indicators of all digital channels (paid, owned, earned media) - Creating dashboards, data visualizations, and campaign and website performance reports. - Monitor and audit data quality -

Infocast is looking for a data engineer to help optimize, expand, test, and maintain the data pipeline architecture across all of our databases and for our upcoming products. You will be working closely with our software engineers and data scientist to understand and implement database requirements, troubleshoot issues, and improve data reliability and quality. The ideal candidate should have a solid understanding (both theoretical and practical) of machine learning techniques, and be comfortabl

We are in search of a Senior Data Engineer to join our team. In this role, you will be responsible for designing and optimizing our data pipelines, with a focus on planning the architecture for user data return from the product end. Responsibilities: Design and manage data pipelines, ensuring high quality and reliability. Take charge of planning the architecture for user data return from the product end. Develop and maintain data processing and ETL pipelines using

Are you a creative IT professional with strong technical aptitude who embraces changes and is passionate about data and information? We invite you to join our highly innovative data engineering team which is constantly designing, developing, and delivering high quality solutions for our customers. As a data engineer, you will have opportunities to work in a dynamic and fast-paced environment to collaborate with business functions to design solutions. You will translate business requirements into

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

KEY JOB ACCOUNTABILITIES In your role, you will scope and deliver digital and data projects to support the business. You are responsible to deliver projects within defined standards, budget, deadlines and quality requirements. You will have a critical role working with internal and external stakeholders. • Evaluate business processes, anticipating requirements, uncovering areas for improvement, and developing and implementing solutions. • Define and monitor the project/program plan, budget, acti

1. Responsible for all incoming parts inspection and outgoing parts quality control. 2. Drive continuous improvement, corrective and preventive actions as a result of data analysis, customer complaints, internal failures, audit findings, etc. with a focus on effective root-cause analysis. 3. Support quality planning activity to ensure customer requirements are met. Interface with customer and production personnel to establish acceptance criteria, processing methodologies and resolve non-conformi