Job Description

　　Justification :

　　DBTT China is building local software development capability initially for GM China Premium Imports program, and in needs of a strong data engineer to build the data relevant technical knowledge and execution capability in China.

　　Main Purpose of this position

　　The data Engineer is responsible for translating business requirements into technology requirements and defining data standards and principles. This position will be creating, developing, and designing data strategy, architectures, and roadmaps for GMPI (General Motors Premier Import) program. The output of this position will support GMPI in data analytics, ML, system development and integrations. In addition, this position shall assume responsibility for defining overall policies and procedures considering legal and government regulatory frameworks and contractual constraints, as well as designing countermeasures to address risks.

　　Roles and Responsibilities

　　Quickly develop understanding of GM Premier Import (GMPI) business, software strategy, and platforms.

　　Lead the design, development, and maintenance of complex and scalable data architectures and pipelines.

　　Collaborate closely with data scientists, analysts, and other stakeholders to understand advanced data requirements and implement sophisticated solutions.

　　Design and implement strategies for data governance, security, and compliance, ensuring the highest standards of data accessibility, reliability, quality, and integrity.

　　Evaluate and implement emerging technologies and tools to enhance the organization's data capabilities.

　　Develop and implement best practices for data engineering, including coding standards, automation, and documentation.

　　Architect, develop, and optimize data storage solutions, including data warehouses, lakes, and real-time processing systems.

　　Collaborate with cross-functional teams to integrate data from various sources and systems, ensuring seamless data flow across the organization.

　　Contribute to troubleshoot and optimize existing data infrastructure and processes for performance and reliability.

　　Stay informed on industry trends and advancements, providing thought leadership and strategic insights on data engineering best practices.

　　Integrate technical functionality (e.g., Scalability, security, performance, data recovery, reliability, etc.) and prepare reports where needed.

　　Establish procedures, processes, and perform inventory around data assets.

　　Champion accountability within and outside the team and coordinate dependencies across teams

　　Additional Job Description

　　Required Qualifications and Experience

　　Bachelor's degree in Computer Science, Information Technology, or a related field.

　　Proven 7years+(Including at college) high proficiency in designing and engineering large-scale data analytical architecture; including data modeling, storage design and optimization, building ETL (Extract, Transform, Load) processes, data pipelines, data management and integration

　　Proficient withRDBMS and NoSQL technologies, such as Oracle, MySQL, MongoDB, Hadoop/Hive/Spark/Flinkand other database modeling and management tools.Proficient in using SQL, Hive SQL, Spark SQL, etc. for data warehouse development.

　　Strong understanding of distributed systems architectures and micro-service architecture. Experience with developing software in one or more programming languages, such as: Python, C++, C#, Java, Shell Scriptingetc.

　　Data visualization tools such as Tableau, PowerBI.

　　Modern analytics data architectures including cloud native, microservices architecture, virtualization, orchestration, and containerization.

　　Design ingestion layer solution with both batch process and event streaming capability, 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.

　　Familiar with Linux and Windows, familiar with CI/CD tools and processes.

　　Understand country/region regulatory cross-border data requirements and methods for compliance.

　　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 and systematic problem-solver with root cause and detail focusing.

　　Sense of ownership and drive for result and solutions

　　Ability to think strategically about technical challenges, business requirements, and solution.

　　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.

　　Pluses

　　Databricks hands-on experience is a strong plus.

　　Azure cloud data solution experience is a strong plus.

　　Leadership skills with the ability to mentor and guide junior data engineers.

　　About GM

　　Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

　　Why Join Us

　　We aspire to be the most inclusive company in the world. We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.

　　Diversity Information

　　General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities.

　　We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.

　　We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:

　　Our Company (https://search-careers.gm.com/en/working-at-gm/)

　　Our Culture

　　How we hire​​​​​​​ (https://search-careers.gm.com/en/how-we-hire/)

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