Kiểm tra với người bán Việc làm tuyển gấp Senior Data Engineer

Mô tả công việc Objective - The job holder is responsible for developing programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from disparate sources and implement complex business logic as needed with the available data processing tools. - The job holder will be responsible for helping build a reliable, sustainable and scalable data processing platform, working with other tribe members to support data pipelines, convert models to machine learning codes and recommend Big Data reporting and visualization applications. Key accountabilities 1. Data Architecture Deliver functionality required for business and data analysts, data scientists and other business roles to advance the overall analytic performance and strategy of ABS Assist in building best practices and strategies for data infrastructure to fulfill data analytic and utilization needs of the business with emerging latest technologies and capabilities. - Maintain data integration processes into the data platform by building data pipelines and align with business representatives and business information needs. - Collaborate with relevant teams on opportunities to manage data and provide solutions for complex data feeds within ABS. - Review internal and external business and product requirements for data operations and activity and suggests changes and upgrades to systems and storage to accommodate ongoing needs. 2. Data Integration - Write scripts and ingest raw data to build and maintain optimized data pipelines and ETL solutions as business support tools in providing analysis. - Obtain and integrate data and information from various sources into the firm’s platforms, solutions and statistical models. - Collaborate with Data Scientists to understand data requirements and create re-usable data assets to enable data scientists to build and deploy machine learning models faster. - Ensure data assets are organized and stored in an efficient way so that information is easy to access and retrieve. Quyền lợi được hưởng -  Lương cạnh tranh + thưởng theo hiệu quả công việc. -  Hỗ trợ ăn trưa. -  Nhiều hoạt động ngoại khóa, các chương trình teambuilding, sinh nhật. -  Môi trường làm việc chuyên nghiệp, đồng nghiệp thân thiện, đang trên đà tăng trưởng cần phát triển số lượng lớn nhân sự nòng cốt -  Cơ hội thăng tiến, phát triển lâu dài trong lĩnh vực tài chính, chứng khoán. -  Thời gian làm việc: 8h15 – 17h15 từ thứ 2 đến thứ 6 Yêu cầu kỹ năng -  Deep understanding of Information Security principles to ensure compliant handling and management of all data -  Experience in designing and building dimensional data models, ETL processes, applied data warehouse concepts and methodologies, optimized data pipelines and assisted the architect as needed -  Experience working in Agile teams to support digital transformation projects, having a clear understanding of Agile principles, practices and Scrum methodologies -  Experience monitoring complex system and solving data and systems issues having a consistent and algorithmic approach to resolving them -  Has some know-how and partial scripting and coding experience to set up, configure & maintain a machine learning model development environment -  3+ years of relevant experience with developing, debugging, scripting and employing big data technologies (e.g. Hadoop, Spark, Flink, Kafka, Arrow, Tableau), database technologies (e.g. SQL, NoSQL, Graph databases), and programming languages (e.g. Python, R, Scala, Java, Rust, Kotlin) with preference towards functional/trait oriented -  Bachelor’s or Master’s degree in Statistics, Mathematics, Quantitative Analysis, Computer Science, Software Engineering or Information Technology -  Some experience architecting, coding and delivering high performance micro services and/or recommenders delivering recommendations to a large user-base.

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