长沙招聘

Architecture and IT platform

1. Further develop the data platform and analytics solutions

2. Identify and document current and future state of data architecture

3. Research, present and accurately articulate benefits and goals of these technologies, such as Big Data, Hadoop, NoSQL, data virtualization and data services

4. Collaborate with various departments, architects, project managers and technical managers to provide estimates, develop overall implementation solution plan and serve as a lead, when required, to implement solution

Data Management

1. Serve as the business modeler / data analyst for data projects and initiatives, creating conceptual and logical business models used to generate physical data models and database schema

2. Research, promote and develop data architecture best practices

3. Work closely with BA, business and IT teams to clarify and refine functional data requirement specifications

4. Establish new data standards and processes to support the company's needs

5. Create effective data models to support both RDBMS and NoSQL based databases

6. Effectively present / communicate data models to the business, IT and the project teams

7. Identify existing solutions in the Group covering the Data Management process (Data Dictionary, Data Quality, Data Lineage, etc.)

Technology Management

1. Follow the latest trends & best practice and derive possible use cases

2. Drive setup of PoC for new technology in collaboration with the Data management & Infrastructure team

3. Maintain Landscape repository and manage the technology lifecycle for assigned solutions (Data Platform, Data Lake, etc.)

Other Tasks

1. Strong collaboration with Business units and Stakeholders

2. Key role in the Porsche Digital China(PDC) working groups for Data management & Data analytics

3. Know-how transfer within the PDC team and close collaboration with other data management teams

Requirements:

Education

• Bachelor and/or Master degree in computer science or equivalent, or other majors with strong linkage to data topic

Experience

• 8+ years of technical solutions experience including 5+ years of in a combination of relevant Data, Big Data, Analytics areas including:

  • Demonstrated experience in creating medium to large-scale enterprise logical data models using normalization techniques

  • Experience building enterprise data lake, data warehouse and business intelligence solutions

  • Experience using data modeling tools as example power designer

  • Experience in a cross-culture working environment or strong ability to cooperate and coordinate with the teams from different countries or different cultural background

• Specific Knowledge

  • Practical knowledge with the Hadoop framework (HDFS, Hive, Spark, etc.)

  • Worked on one or more of the following databases: MySQL, PostgreSQL, MongoDB, Oracle

  • English is a MUST

• Plus

  • Automotive industry project experience

  • Experience of system integration in big corporate for data platform setup

  • Skilled use of Java, Spring cloud, AWS, practical project experience related to mobile internet and digital sales & marketing

  • Familiar with Microservice architecture such as Spring Cloud, experience related to K8s, Docker or big flow service design

保时捷（中国）汽车销售有限公司是保时捷在中国大陆以及中国香港和中国澳门地区的子公司。保时捷中国于 2001 年成立，并开始在销售、市场及售后服务等环节为合作伙伴提供专业支持。

经销商网络
保时捷目前在中国一共124个销售网点（包括港澳各一家），其中96家为保时捷中心（4S）其余为城市展厅，位于北京（五家），上海(四家）和成都（三家）、温州（三家）、深圳（三家）、厦门（两家）、杭州（三家）、武汉（两家）、重庆（三家）、西安（两家）、哈尔滨（两家）、南京（两家）、宁波（两家）、佛山（两家）、福州（两家）、长沙（两家）、昆明（两家）、沈阳（两家）、东莞 （两家）、天津 （两家）、广州、青岛、大连、金华、太原、台州、海口、郑州、苏州、长春、南宁、鄂尔多斯、合肥、济南、兰州、唐山、呼和浩特、无锡、南通、泉州、绍兴、南昌、常州、烟台、三亚、潍坊、银川、嘉兴、榆林、石家庄、中山、珠海、徐州、淄博、贵阳、汕头、洛阳、惠州、泰州、乌鲁木齐、绵阳、新乡、芜湖、香港（两家) 和澳门。所有保时捷中心都是保时捷的授权网点并为中国的保时捷客户提供保时捷的产品及服务。

销售业绩
2019 年，保时捷中国创造了在中国大陆、中国香港及中国澳门累计交付 86,752台的杰出业绩。

企业荣耀
2019年，保时捷中国同时获得了“中国杰出雇主”及“金级国际WELL认证”。