• 15k-30k 经验3-5年 / 本科
    内容资讯,短视频 / D轮及以上 / 2000人以上
    职位职责: 1、支持字节跳动研发团队,作为接口人满足业务团队日常招聘需求; 2、负责端到端招聘流程管理,深刻理解业务,把握招聘需求,为快速发展的团队搭建优秀的人才梯队; 3、参与/负责团队内高端人才寻访,以及面试,offer,入职跟进等全流程管理; 4、管理招聘渠道,如猎头/招聘网站等资源管理; 5、负责招聘相关项目,如校园招聘、人才mapping、高端人才招聘等; 6、分析招聘数据及漏斗,提升招聘有效性。 职位要求: 1、**本科及以上学历 ,5年以上招聘领域经验,甲乙方皆可; 2、良好的项目执行能力和推进能力; 3、优秀的沟通能力和解决问题能力,较高的人际敏感度和影响力; 4、热爱招聘,自我驱动力强; 5、有IT/互联网研发相关招聘经验者优先;有批量招聘经验者优先;有高端招聘经验者优先; 6、有行业头部研发人才**经验者优先; 7、有海外人才回流招聘经验者优先。
  • 100k-200k 经验10年以上 / 硕士
    教育 / 不需要融资 / 500-2000人
    Department: HKUST(GZ) President Duties The Chief Data Officer will report to the President and oversee all aspects of data management, including but not limited to data governance, data quality, data architecture, and data security etc. The role holder will also work closely with other senior executives, faculty members, and staff to ensure that data is used effectively to support the University's vision, decision-making and institutional transformation. 1. Drive cooperation among various business departments to develop and implement a university-wide data strategy that aligns with the University's mission and strategic goals. 协调学校各业务部门,在大学使命和战略目标的指导下,制定并落实学校层面得数据战略。 2. Develop and promote the implementation of campus data governance policies, including standards for the entire data lifecycle management such as collection, cleaning, usage, and disclosure processes, as well as category-based and class-based data security and protection policies. 制定并推动执行校园数据治理政策,包括数据全生命周期的收集、清洗、使用与公开等流程的政策,以及数据分类分级管理政策。 3. Guide the data teams from various University's business departments to establish and optimize data processing workflows and set standards for data quality and data circulation. 指导学校各业务部门的数据团队,建立和优化数据处理流程,制定数据质量和数据流转标准。 4. Supervise the compliance of data to ensure it meets both domestic and international data protection laws and standards. 监督数据的合规性,确保符合国内外的数据保**规和标准。 5. Lead the establishment of an internal, scalable, and secure data architecture, to accommodate the heterogeneous data integration, through effective coordination and collaboration with data teams from various business units, ensuring that solutions meet business needs, to promote data accumulation and then to form data assets, and report to government departments as required. 带领学校各业务部门的数据团队建立校内可扩展的安全数据架构,实现多元数据汇聚与整合体系,确保数据解决方案能够满足业务需求,促进数据积累和沉淀,形成数据资产,并根据省市教育部门要求进行述职。 6. Work closely with academic and administrative units across campus to foster a culture of data-driven decision-making and drive continuous institutional improvement through the strategic use of data across the University. 与校内各学术机构单位密切合作,培养数据驱动决策的文化,并通过数据持续推动大学的发展。 7. Keep an open mind to the latest trends in data science and artificial intelligence, incorporating cutting-edge data governance knowledge and perspectives into the University's data management. 保持对最新的数据科学和人工智能趋势的学习,将前沿的数据治理知识观点代入校园数据管理中。 任职要求: Qualification Requirements A qualified candidate should: 1. Hold a Master's or Doctoral degree in Data Science, Computer Science, or a related field. 拥有数据科学、计算机科学或相关领域的硕士或博士学位。 2. Have at least 10 years of relevant work experience, including data management and team leadership in large organizations, proficient in big data technology such as Hadoop, Hive, Doris, Spark, Flink, etc. 至少10年相关工作经验,包括在大型组织中的数据管理和团队领导经验,精通大数据工作栈,如Hadoop、Hive、Doris、Spark、Flink等。 3. Possess excellent communication and teamwork skills, able to collaborate across departments to promote the implementation of data policies. 具备出色的沟通能力和团队协作能力,能够跨部门合作,推动数据政策的实施落地。 4. Be familiar with domestic and international data security and compliance policies and related regulations, such as China's Data Security Law, China's Cybersecurity Law, etc., with experience in handling data compliance in multiple jurisdictions. 熟悉国内、国际数据安全、合规政策及相关法规,如中国数据安全法、中国网络安全法等,有在多个司法管辖区内处理数据合规性的经验。 5. Have strong strategic planning, organizational management, innovation management, and change implementation capabilities. 具备较强的战略规划能力、组织管理能力、创新管理能力及变革执行能力。
  • 20k-40k 经验3-5年 / 本科
    内容资讯,短视频 / D轮及以上 / 2000人以上
    职位职责: 数据产品经理是大数据赋能业务的灵魂和领军角色! 1、负责数据产品设计与规划,专业分析报告等工作; 2、深入业务一线,结合业务场景,并联动数据中台各类资源,输出面向业务线的数据产品设计方案并落地实施,增加有一定数据分析的能力; 3、敏锐洞见行业及业务痛点,并结合字节跳动已有的数据能力,为业务线输出带行业特性的大数据解决方案,赋能业务快速发展; 4、与业务团队紧密合作,积极协同产出产品方案,并通过产品的运营推广,让业务线更多的用户从中受益; 5、强烈的数据敏感度,能够利用数据工具,随时跟进产品的运行分析,持续优化;保证所负责的产品最优用户体验。 职位要求: 1、有强烈的主人翁意识、具有积极主动追求产品和帮助业务线成功的热情、爱好挑战; 2、具有良好的产品规划、设计与落地能力,数据驱动,并有执著的定目标拿结果的能力; 3、2年以上产品设计或分析经验,具备良好的数据敏感度、调研分析能力、能很好地产出MRD、DEMO和PRD; 4、具有良好的项目落地与团队协作能力:能够组织跨团队协作、推动项目优质如期落地;能够制定数据产品的品牌推广及运营策略等;熟悉数据及数据技术并能与技术人员很好的沟通与协作,并进行技术风险预估等; 5、有良好的逻辑思维;有很强的抗压能力、学习能力和动手能力; 6、对数字极其敏感,具有较强的商业和数据结合思路,同时有行业数据解决方案背景优先; 7、统计学,经济学,数学专业优先。
  • 18k-20k 经验3-5年 / 本科
    IT技术服务|咨询,专业服务|咨询,软件服务|咨询 / 未融资 / 2000人以上
    MLOps Engineer (Junior to mid-level) (project-based assignment version, minimal maintenance) Position Objective: • Deliver end-to-end MLOps solutions which could suit the business needs and meet AIAHK technical standard as a data science technical advisor and MLOps developer. • Explore and leverage the state-of-the-art machine learning techniques for a variety of problems at the intersection of machine learning. Roles and Responsibilities: • Design a MLOps solution with high performance, maintainability and reliability on top of the existing AIAHK Data Science Lab capabilities and in accordance with the user’s requirement. • Articulate the design, workflow and benefits to stakeholders. • Manage the machine learning lifecycle as follows: o Orchestrate the data flow from AIAHK Data and Analytics platform for machine learning model development, evaluation and deployment. o Provision new Azure infrastructure for the new project. o Evaluate the machine learning solution in terms of the technical viability, operational impact and costing with the data scientists. o Assess the robustness of the technical documentation, including but not limited to ensuring compliance with AI governance assessment, meeting model acceptance criteria, etc. o Perform code refactoring, build data transformation and enhance the existing CI/CD pipelines. o Design and implement the model monitor pipeline with proper metrics and triggers. • Have the opportunities to the followings: o Learn and adapt to new business domains and technologies. o Promote data culture. o Have a wide exposure as partnered with stakeholders within the AIAHK and external partners. o Challenge the status quo and propose new value-adding solutions. o Work under an agile and open-minded environment. o Work closely with the data scientists, Data Analytic teams, Architecture teams, Application teams, Information Security teams and Infrastructure operation teams for process changes. Job Requirements: Ÿ Bachelor degree or above in relevant fields (computer science, data science, engineering, statistics or related discipline). Ÿ 5+ years of relevant experience in related domains such as machine learning, data flow, DevOps, etc. Ÿ Technical skills or related skills on the following: - Excellent on using SQL, python and PySpark. - Advanced MLOps / DevOps skills - Able to understand machine learning model codes and frameworks. - Experienced in using machine learning related Azure components such as Azure Databricks, Azure Machine Learning, Azure Data Lake Gen 2, Azure Devops, Azure Container Instance, Azure Kubernetes Service, etc. - Basic provisioning knowledge using Azure Resource Management templates. - Basic networking knowledge such as firewall, Azure Virtual Network, etc. Ÿ Adequate communication skill. Ÿ Nice to have insurance knowledge and cloud related certificates.
  • 20k-30k 经验1-3年 / 不限
    NCS
    IT技术服务|咨询,网络通信 / 不需要融资 / 2000人以上
    Has large scale system setup/deployment experience, Familiar with Shell/Python scripts.
  • 25k-35k·14薪 经验5-10年 / 本科
    旅游|出行 / 上市公司 / 2000人以上
    Key responsibilities: 1. Lead a team of 2 to 4 people focused on pricing strategies of hotel products in oversea markets (such as US and Europe) 2. Build robust models and data pipelines to achieve goals of yield management 3. Discover oppotunities that help to increase users' conversion and market shares 4. Collaborate with product managers, business teams on various projects Requirements: 1. Over 4 years of experience in data analytics or data science field, experience in team management is a plus 2. Proficient in Sql and R or Python 3. Master degree in CS/Math/Stat is a plus 4. Bilingual in Chinese and English 5. Working experience in English-speaking regions is a plus
  • 25k-40k·14薪 经验5-10年 / 不限
    营销服务|咨询,数据服务|咨询 / 上市公司 / 500-2000人
    岗位职责: 配合产品开发团队,保障FreeWheel数据平台的关键服务和重要基础设施的稳定、可靠地运行。 工作内容: 1. 深入理解业务,持续提升业务SLO/SLA; 2. 通过持续的全方位数据运营(包括可用性指标/历史事故/资源利用率等),找到系统容量、可用性、稳定性方面的薄弱点,并推进落地改进项目; 3. 参与建设运维工具.平台,推进运维自动化,量化数据,使用代码解决线上问题; 4. 参与故障应急响应处理,持续打磨监控系统,提升报警准确率,缩短故障定位时长; 5. 积累运维最佳实践,为业务及基础设施架构设计与资源选型提供指导,输出标准运维流程文档; 岗位要求: 1. 5年及以上相关工作经验,计算机科学或相关专业(通信/电子/信息/自动化等)优先; 2. 熟悉主流云厂商及服务,如AWS/GCP/Azure/AliCloud等; 3. 云环境管理与优化经验,包括成本管理,安全管理,运维管理,应用架构优化; 4. 熟悉业内流行的大数据或消息队列等分布式系统平台:Aerospike, Kafka, Hadoop,Yarn,HDFS,Hbase,Druid或其他NoSQL系统等; 5. 积极拥抱 “Infrastructure as Code”思想并有较丰富的实践经验,熟悉相关厂商及开源解决方案,如CloudFormation/Terraform等; 6. 运维平台设计与使用经验,如设计或参与开发过运维管理平台:资源管理,K8s管理,配置管理等; 7. 对多种云计算基础服务有较丰富的实践操作经验,包括但不限于: VPC, Subnets, Security Group, EC2, S3, IAM, Route 53, Security Hub etc; 8. 深入理解Linux操作系统,并掌握多种开源解决方案及相应技能:Kubernetes/Container/Nginx/Ansible/Prometheus/Grafana/ELK; 9. 熟悉Golang开发语言为优; 10. 工作积极主动,有强烈的责任心,执行能力强;善于思考总结,有很强的学习、问题分析和推进解决能力; 11. 基本的英文听说能力,较强的读写能力,能够快速融入英文工作环境;
  • 教育 / 不需要融资 / 500-2000人
    岗位职责: Job Title: 大数据开发工程师 Engineer of Big Data Development Department: Section of Development and Teaching Support (DTS), Information Technology Department (ITD), HKUST(GZ) Job ID: Job Posting Details Formally established in June 2022, the Hong Kong University of Science and Technology (Guangzhou)(HKUST(GZ)) is a cooperatively-run university between the Chinese mainland and the Hong Kong Special Administrative Region. HKUST(GZ) has obtained approval from the Ministry of Education (MoE) and become the first legally-independent educational institution co-established by the Mainland and Hong Kong since the announcement and implementation of the “Outline Development Plan for the Guangdong-Hong Kong-Macao Greater Bay Area” and the “Overall Plan for Deepening Globally Oriented Comprehensive Co-operation amongst Guangdong, Hong Kong and Macao in Nansha of Guangzhou”. With a spirit of pioneering innovation, HKUST(GZ) charts new territories in cross-disciplinary education and explores new frontiers in pedagogies, aiming to serve as a role model of the mainland-Hong Kong integrated educational development and become a world-famous high-level university, endeavoring to nurture future-oriented, high-level and innovative talents. HKUST(GZ) is located at **** Duxue Road, Qingsheng Hub Cluster, Nansha District, Guangzhou. The campus covers an area of about 1,669 mu (111.3 hectares) and is divided into two construction phases. The first phase covers an area of about 716 mu (47.7 hectares) with a floorage of about 636,000 square meters (63.6 hectares), which had been officially put into use in September 2022. The design of the campus blends natural scenery with architecture, with key cutting-edge technologies for energy conservation and environmental protection adopted during the design and construction process, in a bid to establish the campus as a new benchmark of green, smart and sustainable development. Duties 1.参与学校大数据应用场景业务规划,分析业务问题,并组织相关大数据应用项目落地实施。 2.负责学校大数据领域的数据采集、建模、分析、处理和对接工作,协助数据中台的体系的架构设计。 3.协助开发可视化数据报表为学校管理层提供大学发展决策、运营需要的数据支持。 4.根据校外教学监督管理部门对大学管理的数据要求,开发数据收集模板,定期整理外部监管部门所需数据并按期上报。 任职要求: Qualification Requirements 1.计算机、软件工程、应用数学、大数据等相关专业,本科及以上学历; 2. 三年以上大数据行业经验。 3.掌握python/Java语言;熟悉flink、kafka、spark、hive等技术;熟悉hadoop平台常见组件,如hdfs、yarn、mapreduce等 4.具备数据统计与分析的理论基础,并具实际项目经验;熟悉分类、聚类、关联规则、异常点分析等数据挖掘算法。 5.具有Tableau、PowerBI、FineBI、SugarBI等至少一种BI工具使用工作经验。 6.了解离线数据仓库、实时数据仓库构建方式。 7.有良好的逻辑思维能力,对业务场景有较强的抽象、总结能力,善于沟通与团队协作。 8.可使用英语进行日常办公。 This is a Mainland appointment, and the appointee will be offered a contract by HKUST Mainland entity in accordance with the Mainland labor laws and regulations. Starting salary will be commensurate with qualifications and experience. Application Procedure In support of a green work environment, we accept applications submitted online only. To apply, please register and log in via this link: https://sc.hotjob.cn/wt/HKUSTGZ/web/index and search for the opening by Job ID or Job Title. Applicants should include a Resume in their applications, and could check their application status via the recruitment website. We thank applicants for their interest but advise only shortlisted candidates will be notified of the result of the application. (Information provided by applicants will be used for recruitment and other employment-related purposes only.) HKUST (GZ) is an equal opportunities employer and is committed to our core values of inclusiveness, diversity, and respect.
  • 35k-50k 经验5-10年 / 本科
    其他 / 不需要融资 / 2000人以上
    Do you have experience in architecting data at a global organization scale? Do you enjoy working on cutting edge technologies while supporting end-users achieving their business goals? About QIMA You will be linking our new companies in Americas, our teams in Europe (mostly France) and our teams in Asia (China, Hong Kong, Philippines). Your role QIMA has a 35%/year growth pace, 20% thanks to acquisitions. It is paramount that we manage to integrate quickly our new acquired companies so that they can extend the benefit of our state-of-the-art data management & dashboards to our new clients and colleagues. Data integration plays a key role in this integration: how do we manage to understand quickly and unambiguously the data of the newly acquired company? How do we connect this data to our existing data flows? Data plays a key role at QIMA: as we master the entire data flow, from data collection (with our own inspectors, auditors, and labs), data processing (BI and data scientists) and data actionability (insights for our customers and for our managers). Data is spread around different departments and expertise inside the company: Marketing, Operations, Sales, IT, … Data governance is key, and collaboration around data will unlock the potential to bring even more value to our customers about the quality of their products, and to our managers about their operations. These main challenges about data lead us to look for our Head of Data. In this role, your main responsibilities will be, but not limited to: - Project Management o Imagine the business cases of the data projects by exchanging with stakeholders, and deliver them o Lead the transversal projects around our datawarehouse and cloud ETL o Lead the Master Data Management projects, leveraging the key skills and technologies already in place across departments o Drive the data integration of newly acquired companies within QIMA group in order to synchronize reporting dashboards and provide a transversal understanding of the business o Lead the discussion and integration projects with external partners o Track results and provide continuous improvement o Be responsible for budget, roadmap, quality and delivery of these projects - People Management o Manage the Data Engineering and the Business Intelligence teams - Community Animation o Animate data governance across domains and departments o Be the guardian of data quality in the group, challenge data inconsistencies and ensure that data is shared by all departments in any circumstances o Implement knowledge sharing practices inside the data community o Be responsible of data lineage and data quality - Management of the run o Cooperate with our IT support organization to create the support of the newly created systems o Organize and manage the day-to-day operation and support of this system Requirements: In order to succeed in this role, you must have: - Master's degree in computer science - Extensive experience and knowledge on Data solution architecting - Experience in transversal projects - Are a hands-on person, autonomous, at ease to discuss with a CEO or a field operator - Open minded, agile with change and pragmatic - Ability to drive a workstream and train final users - Can work in a multinational environment and on multiple simultaneous projects - Strong communication skills, both oral and written - Excellent teamwork and interpersonal skills - Are fluent in English: daily use required with our colleagues all over the world; - If you are based in Europe, you are willing and able to travel. We offer: a competitive package, performance bonus, fast career progression and international career opportunities.
  • 45k-65k 经验5-10年 / 本科
    其他 / 不需要融资 / 2000人以上
    Your role QIMA has a 35%/year growth pace, 20% thanks to acquisitions. It is paramount that we manage to integrate quickly our new acquired companies so that they can extend the benefit of our state-of-the-art data management & dashboards to our new clients and colleagues. Data integration plays a key role in this integration: how do we manage to understand quickly and unambiguously the data of the newly acquired company? How do we connect this data to our existing data flows? Data plays a key role at QIMA: as we master the entire data flow, from data collection (with our own inspectors, auditors, and labs), data processing (BI and data scientists) and data actionability (insights for our customers and for our managers). Data is spread around different departments and expertise inside the company: Marketing, Operations, Sales, IT, … Data governance is key, and collaboration around data will unlock the potential to bring even more value to our customers about the quality of their products, and to our managers about their operations. These main challenges about data lead us to look for our Head of Data. In this role, your main responsibilities will be, but not limited to: -Project Management oImagine the business cases of the data projects by exchanging with stakeholders, and deliver them oLead the transversal projects around our datawarehouse and cloud ETL oLead the Master Data Management projects, leveraging the key skills and technologies already in place across departments oDrive the data integration of newly acquired companies within QIMA group in order to synchronize reporting dashboards and provide a transversal understanding of the business oLead the discussion and integration projects with external partners oTrack results and provide continuous improvement oBe responsible for budget, roadmap, quality and delivery of these projects -People Management oManage the Data Engineering and the Business Intelligence teams -Community Animation oAnimate data governance across domains and departments oBe the guardian of data quality in the group, challenge data inconsistencies and ensure that data is shared by all departments in any circumstances oImplement knowledge sharing practices inside the data community oBe responsible of data lineage and data quality -Management of the run oCooperate with our IT support organization to create the support of the newly created systems oOrganize and manage the day-to-day operation and support of this system Requirements: In order to succeed in this role, you must have: -Master's degree in computer science -Extensive experience and knowledge on Data solution architecting -Experience in transversal projects -Are a hands-on person, autonomous, at ease to discuss with a CEO or a field operator -Open minded, agile with change and pragmatic -Ability to drive a workstream and train final users -Can work in a multinational environment and on multiple simultaneous projects -Strong communication skills, both oral and written -Excellent teamwork and interpersonal skills -Are fluent in English: daily use required with our colleagues all over the world; -If you are based in Europe, you are willing and able to travel.
  • 6k-8k 经验不限 / 本科
    CTR
    广告营销 / D轮及以上 / 500-2000人
    作职责: 过常规Topline数据处理、标准化报告产出,协助团队及时、高质量地完成客户交付工作 和技术团队协作,通过改善报告自动化,提升团队整体工作效率 岗位要求: 对理解数据含义、消费趋势有好奇心 注重细节,愿意与团队内部沟通/提出问题 擅长多任务处理 良好的英文读写能力,六级及以上
  • 25k-40k 经验5-10年 / 本科
    消费生活 / 不需要融资 / 2000人以上
    工作职责 1.Perform an assessment on all visualization and reporting requirements and develop long term strategy for various dashboard & reporting solutions. 2.Effective communication with business partners to understand their needs, and design reports accordingly 3.Collect and understand business logic behind all the reports to translate it into data model design requirement 4.Manage projects, prepare updates and implement all phases for a project 5.Turn data into insights with actionable execution plans and influence key stakeholders to implement the solutions 6.Provide training to business teams on BI tool usage and dashboard creation 任职要求 1.Proficient in using SQL, Python and R for data manipulation and analysis 2.Experienced in data visualization and dashboard development with tools like Tableau 3.Excellent presentation, project management and people management skills 4.Bachelor degree or above in statistics, business analytics, mathematics, computer or relevant education with training on data and analytics 5.5+ years of experience of managing analytics&BI projects, with successful project experiences in using data to drive business value for senior analyst. 6.Experience in data governance, data quality management, data processing and insights 7.Strong in data visualization tool such as Tableau, PowerBI.etc), as well as in BI portal products 8.Excellent in planning and organization of project, able to use data to identify and solve problems 9.Experience in retail, CRM, supply chain and production is a plus
  • 25k-35k·14薪 经验5-10年 / 硕士
    IT技术服务|咨询 / 上市公司 / 2000人以上
    职责描述: ? Develop AI and machine learning solutions to optimise business performance across different areas of the organisation; ? Build exploratory analysis to identify the root causes of a particular business problem; ? Explore and analyze all the to understand customer behavior and provide better customer experience; ? Use data analytics to help in-country Marketing, Distribution, Operation, compliance and HR teams to increase revenue, lower costs and improve operational efficiency; ? Identify actionable insights, suggest recommendations, and influence the direction of the business of cross functional groups; ? Build MIS to track the performance of implemented models to validate the effectiveness of them and show the financial benefits to the organization; ? Support the data analytics team on data extraction and manipulation; ? Help decision analytics team on the creation of documentations of all analytical solutions developed; ? Build data infrastructure necessary for the development of predictive models and more sophisticated data analysis; ? Development of data analysis for different business units 任职要求: ? Studying a numerate discipline e.g. Actuarial science, Mathematics, Statistics, Engineering, or Computer Science with a strong computer programming component; ? Demonstrable understanding of data quality risks and ability to carry out necessary quality checks to validate results obtained; ? Knowledge of a variety of machine learning techniques (clustering, decision tree, random forest, artificial neural networks, etc.) ? Proven hands-on experience in the use of at least one advanced data analysis platform (e.g. Python, R); ? Sound knowledge of programming in SQL or other programming experience; ? Articulate, with excellent oral and written communication skills. Fast learner with a willing attitude. Intellectually rigorous, with strong analytical skills and a passion for data;
  • 40k-60k·14薪 经验5-10年 / 本科
    区块链 / 上市公司 / 2000人以上
    Responsibilities: Design and build resilient and efficient data pipelines for both batch and real-time streaming data Architect and design data infrastructure on cloud using industry standard tools Execute projects with an Agile mindset Build software frameworks to solve data problems at scale Collaborate with product managers, software engineers, data analysts and data scientists to build scalable and data-driven platforms and tools Ensure data integrity and scalability through enforcement of data standards. Improve data validation and monitoring processes to proactively prevent issues and quickly identify issues. Drive resolution on the issues. Define, understand, and test external/internal opportunities to improve our products and services. Requirements: Bachelor’s Degree in Computer Science or have equivalent professional experience Solid Experience with data processing tools such as Spark, Flink Solid Experience implementing batch and streaming data pipelines Solid experiences in Python/Go/Scala/Java. In-depth knowledge of both SQL and NoSQL databases, including performance tuning and troubleshooting Familiar with DevOps tools such as Git, Docker, k8s Experience with the cloud (e.g. AWS, Ali Cloud, GCP, Azure) Be proficient in SQL, familiar with advanced SQL features such as window functions, aggregate functions and creating scalar functions/user-defined functions. Proven successful and trackable experience in full end-to-end data solutions involving data ingestion, data persistence, data extraction and data analysis. Self-driven, innovative, collaborative, with good communication and presentation skills Fluent in English, both written and spoken. Preferred Qualifications: Experience in FinTech, eCommerce, SaaS, AdTech, or Digital Wallet business industries. Experience in working with teams across offices and timezones is a plus. Experience in big data tools such as Amplitude/Tableau/QlikView, Ali Cloud DataWorks, MaxCompute, Hadoop, Hive, Spark and HBase is a big plus.
  • 软件服务|咨询,IT技术服务|咨询 / 不需要融资 / 50-150人
    外企银行 双休 不加班 实际有五个岗位: 4-9年:数据分析,deep learning, NLP, transformer model 3-6年:数据开发,Hadoop, Spark, Kafka, SQL, Flink 3-6年:数据开发,Python, SQL, pandas, database 2-6年:Machine Learning Engineer,Python, Docker, CI/CD, Machine Learning and/or ML model monitoring experience a plus 6-9年:Experience in HDFS, Map Reduce, Hive, Impala, Sqoop, Linux/Unix technologies. Spark is an added advantage. Job Duties & Responsibilities: • Support finance regulatory reporting projects & applications as ETL developer | Big Data applications by following Agile Software development life cycle | level 2/3 support of the data warehouse.