通用汽车中国总部招聘

职位描述：

• Hive
• 大数据平台架构经验
• Spark
• 计算机相关专业
• 英文面试

职责描述： Quickly develop understanding of GM Premier Import (GMPI) software strategy. Work with or without direct supervision, be visionary in GMPI data strategy and responsible for data architecture design, roadmap and evolution. Ability to quickly develop understanding of business requirements and implement data architecture leveraging modern data technologies. Ensure appropriate and effective data integration across multiple systems, create fluid and E2E vision for how data will flow through the data landscape of organizations. Integrate technical functionality (eg. Scalability, security, performance, data recovery, reliability, etc.) and prepare reports where needed. Responsible for data quality assurance by implementing measures to ensure data accuracy, accessibility and be responsible for regular health check on data sources. Ensure data accessibility, reliability, quality, and security across different organizations. Establish procedures, processes, and perform inventory around data assets. Collaborate with internal & external teams on managing & devise data architecture strategy that address different business requirements Track, anticipate and manage data related technology and architecture evolution. Keep abreast on technology shift and industry initiative to prioritize and adapt the data blueprint effectively. Champion accountability within and outside the team and coordinate dependencies across teams Promote a collaborative team environment that fosters creativity and innovation Promote continuous team improvement, measure the team, and help the team and individuals measure themselves Analyze the current business and IT environment to detect critical deficiencies and recommends areas for improvement 任职要求： Required Qualifications and Experience： Bachelor’s degree in technical discipline (Computer Science or Engineering) At least three years (Including at college) high proficiency in designing and engineering large-scale data analytical architecture; including building Extract, Transform, Load (ETL) process, data pipelines, data management and integration 2 years or more including at college in data architecture role designing data warehousing and/or data lakes with technologies such as Lakehouse, Hadoop eco-system Demonstrated experience and knowledge in designing, analytics and troubleshooting for large-scale distributed systems in cloud, non-cloud as well as hybrid environments. Strong understanding of distributed systems architectures and micro-service architecture. Facilitate technology strategy, requirements, and architecture conversations with all stakeholders (management, business users, and technology resources) through exceptional collaboration, listening, written and verbal communication skills Creative problem-solver with good communication skills Ability to think strategically about technical challenges, business requirements, and solution Understand country/region regulatory cross-border data requirements and methods for compliance Assess and recommend different storage architecture, such as data warehouse, data lake and data mart based on the data type Design ingestion layer solution with both batch process and event streaming capability Additional Requirements: Proficient with Oracle, MySQL, MongoDB, Hadoop/Hive/Spark/Flink and other database modeling and management tools. Experience with developing software in one or more programming languages, such as: Python, R, C++, Java, Shell Scripting, JavaScript, HTML/CSS etc. Proficient in using SQL, Hive SQL, Spark SQL, etc. for data warehouse development. Familiar with Linux and Windows. Modern analytics data architectures including cloud native, microservices architecture, virtualization, orchestration, and containerization. Proven expertise in data storage layer modern technology such as Lakehouse architecture. Knowledge in data warehouse versus data lake Experience with data platform development on virtual on-premises cloud provided by Amazon Web Service (AWS), Google Cloud, Azure, or others. Proficient in networking among different data platform application clusters connectivity Data ingestion, data exposure via API. Familiar with Continuous Development/ Continuous Integration (CI/CD) tools and processes. Data visualization tools such as Tableau, Power BI. Other Skills and Abilities: Project management Systematic problem-solving approach Sense of ownership and drive for result and solutions Exceptional listening skill Must be able to thrive in a fast-paced environment and be willing to embrace change Good interpersonal skills Effective Communication and Presentation skills in both English and Chinese, especially on business problems, alternatives and project strategy to a project team and customer groups

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通用汽车中国总部 · HR