职位&公司对比

招聘中

高级算法工程师

-K
  • 智能硬件
  • A轮
招聘中
上海某大型互联网O2O平台公司

职位详情

  • 上海
  • 3-5年
  • 本科
  • 数据分析
  • 信号处理

产品采集来自BOSS直聘生理信号进行处理,对海量数据来自BOSS直聘进行分析挖掘,相性研究。涉及大数健康、智能交互领域。

职位详情

  • 上海
  • 5-10年
  • 本科
  • 要求数据开发经验
  • 数据仓库开发经验
  • Spark
  • Oracle
  • MySQL/SQL Server
  • Python
  • SQL
  • BI报表开发经验
  • ETL开发经验
  • 实时数仓开发经验
  • 计算机相关专业
  • 非外包类

Main Responsibilities 1. Analyze and Recommend: Evaluate existing data warehouse systems and suggest upgrades and improvements. 2. Development and Installation: Oversee the development and installation of data warehouse systems. 3. Testing and Troubleshooting: Perform BOSS直聘tests, troubleshoot issues, and ensure quality assurance. 4. Safety and Data Recovery: Implement safety procedures and data recovery plans. 5. Documentation: Develop user manuals, policies, procedures, and safety protocols. 6. Collaboration: Work with other departments and professionals in data warehouse system development. 7. Maintenance bossand Upgrades: Ensure installations, maintenance, and upgrades are on schedule and meet client specifications. 8. Performance Monitoring: Monitor data warehouse system performance, identify and solve problems, and ensure optimal operation. 9. System Interfaces: Manage data warehouse system interfaces for stability and security. 10. Change Control: Handle data warehouse system change control processes, including assessing change requests, developing plans, testing, and releasing changes. 11. Data Analysis & Modeling: Develop predictive models (e.g., attendance forecasting, ride wait times, seasonal demand). Analyze guest behavior data (ticketing, app usage, spending patterns) to drive personalized marketing Optimize staffing, inventory, and ride maintenance schedules using statistical methods. 12. Reporting & Visualization: -Create dynamic dashboards (Tableau/Power BI) for real-time KPIs: crowd density, revenue, customer satisfaction. Automate reports for stakeholders to monitor operational efficiency. 13. Database Management: Query and manage large datasets (SQL, Python/R) from POS systems, loT sensors, and CDP/CRM platforms. Ensure data integrityboss across platforms 14.Collaboration: Partner with IT vendors to integrate analytics tools into park apps and loT devices. Support A/B testing for digital campaigns and in-park promotions. Requirements 1. Education: Degree in computer science or IT; business administration courses or degree is advantageous. 2. Certification: Relevant certifications may be required. 3. Experience: -At least 3 years of progressive experience in hospitality or theme park industry. - At least 1 years of experience in Ticketing, PMS, Retail, F&B, and Supply Chain system maintenance/operation.4.Strong written and verbal communication skills.5. Excellent interpersonal and leadership skills. 6. Detail-oriented, able to maintain accurate s来自BOSS直聘ystem documentation, manage time productively, and keep records of activities. 7. Data Warehouse Skills: Familiar with data warehouse architecture and design principles. Proficient in SQL and database management systems (e.g., Oracle, SQL Server, MySQL). Knowledge of ETL (Extract, Transform, Load) processes and tools (e.g., Informatica, Talend). Capable of data modeling and data analysis. Knowledge of big data technologies (e.g., Hadoop, Sparkand loud data warhouse solutions(eg,Amazon Redshift,Google BigQuery). PostgreSQL: Proficient in managing and optimizing PostgreSQL databases. Power Bl: Skilled in using Power BI for data visualization and reporting. Data Governance: Knowledge of data governance frameworks and best practices to ensure data quality and consistency. Data Security: Knowledge of data security and privacy protection, able to implement and maintain data security measures. Performance Optimization: Capable of optimizing data warehouse performance, including index optimization, query optimization, and storage Automation: Skilled in using scripts and automation tools (e.g., Python, Shell scripts) for data warehouse management and maintenance.

技能解析

专有技能
  • 数据进行分析
  • 海量数据

    数据来自CSL职业科学研究室

    技能解析

      暂无识别出相关技能要求

      工作时间

      上午08:00   -   下午05:00

      公司福利

      • 五险一金
      • 全勤奖
      • 年终奖
      • 股票期权
      • 带薪年假
      • 员工旅游
      • 餐补

      公司福利

      • 五险一金
      • 意外险
      • 带薪年假
      • 免费班车
      • 员工体验券
      • 员工景点体验

      备注

      职位发布者未明确表明公司信息,具体可咨询职位发布人进行确认。

      更新于 2025-04-29