Kiểm tra với người bán Việc làm tuyển gấp Data Engineer

Mô tả công việc 1. Objective: - The job holder is responsible for designing and 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. ▪ Data Engineer - 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. ▪ Senior Data Engineer - The job holder will be responsible for integrating new data sources to increase throughput of existing systems, managing data pipelines that facilitate robust analysis, and sourcing & preparing data to ensure data completeness on metadata platforms. 2. Key accountabilities: ▪ Data Engineer A. 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 the bank 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. - Collaborate with relevant teams on opportunities to manage data and provide solutions for complex data feeds within the bank. - Maintain data integration processes into the data platform by building data pipelines and align with business representatives and business information needs. - 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. B. Data Integration - 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. - Write scripts and ingest raw data to build and maintain optimized data pipelines and ETL solutions as business support tools in providing analysis. - Ensure data assets are organized and stored in an efficient way so that information is easy to access and retrieve. ▪ Senior Data Engineer A. 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 the bank Build the best practices and strategies for data infrastructure to fulfill data analytic and utilization needs of the business with emerging latest technologies and capabilities. - Evaluate various data architectures in the bank and utilize them to develop data solutions to meet business requirements. - Drive the delivery of data products and services into systems and business processes in compliance with internal regulatory requirements. - Proactively drive the effort of identifying opportunities to manage data and provide solutions for complex data feeds within the bank. - Oversee the review of 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. B. Data Integration - Design, build, and maintain optimized data pipelines and ETL solutions as business support tools in providing analysis and real time analytics platform for critical decision making. - Lead discussion with Data Scientists to understand the data requirements and create re-usable data assets to enable data scientists to build and deploy machine learning models faster. - Strategically obtain and integrate data and information from various sources into the firm’s platforms, solutions and statistical models. - Ensure data assets are organized and stored in an efficient way so that information is high quality, reliable, flexible, and efficient. C. Project Management - Manage project conflicts, challenges and dynamic business requirements to keep operations running at high performance. - Work with team leads to resolve people problems and project roadblocks, conduct post mortem and root cause analysis to help squads continuously improve their practices to ensure maximum productivity. D. Talent Development - Mentor and coach junior fellows into fully competent Data Engineers. - Identify and encourage areas for growth and improvement within the team. Quyền lợi được hưởng • Salary: $1000 - 2000/ Negotiable according to capacity • Instant bonus of 5-10% on monthly salary above the last offer. • 13th month salary + bonus based on project + soft bonus based on work performance • Consider salary increase twice a year according to work performance • Participate in diverse projects, developing and applying the latest technologies. • Opportunities to work and train in foreign countries. • Allowance in addition to salary for certificates in Japanese, ISTQB, AWS, Salesforce ... from 1-5 million/month. • The company is scaling-up very quickly, with a lot of development and promotion opportunities. • Support to learn Japanese, courses to improve professional skills. • Working from Monday to Friday in a young and dynamic environment. •Flexible working time. Limit Overtime. • Comprehensive health care with VBI care insurance package. • Other benefits: insurance, gas, lunch, teambuilding, annual travel, vacation, beauty care... • Various activities: football club, football, chess, ... Yêu cầu kỹ năng ▪ Bachelor's or Master’s degree in Statistics, Mathematics, Quantitative Analysis, Computer Science, Software Engineering or Information Technology ▪ 2-5 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 ▪ English proficiency requirements are pursuant to Techcombank's policy ▪ 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 monitoring complex system and solving data and systems issues having a consistent and algorithmic approach to resolving them    ▪ Deep understanding of Information Security principles to ensure compliant handling and management of all data    ▪ Experience working in Agile teams to support digital transformation projects, having a clear understanding of Agile principles, practices and Scrum methodologies    ▪ Has some know-how and partial scripting and coding experience to set up, configure & maintain a machine learning model development environment     ▪ Some experience architecting, coding and delivering high performance micro services and/or recommenders delivering recommendations to a large user-base

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