RELX Group Sr Data Engineer in Shanghai, China

Sr Data Engineer

Category:

Location: Shanghai, China

|BASIC FUNCTIONS: This position performs complex research and data engineering assignments within an engineering functional area or product line, and provides direct input to project plans, schedules, and methodology in the development of cross-functional products. This position performs date engineering design - typically across multiple systems; mentors more junior members of the team; and talks to users/customers and translates their requests into solutions. |QUALIFICATIONS: ? 5+ years in data management area with a technical competencies required. ? Bachelor?s Degree (Engineering/Computer Science preferred but not required); or equivalent experience required. TECHNICAL SKILLS: ? Advanced knowledge of software development methodologies (e.g., Agile, Waterfall). ? Strong proficiency with data manipulation language including optimization techniques. ? Strong understanding of normalized/dimensional data modeling principles. ? Strong knowledge of multiple data storage subsystems. ? Expertise in development languages including but not limited to: Java/J2EE, JavaScript, JSP, C/C++, HTML, XML, SQL, Windows, Unix, .Net., HPCC. ? Strong knowledge in Industry data engineering best practices. ? Knowledge in using and developing in applicable toolsets. ? Ability to interface competently with other technical personnel or team members to finalize requirements. ? Ability to work well with internal and external technology resources. ? Knowledge of test-driven development. ? Ability to write and review portions of detailed specifications for the development of complex system components. ? Solid project management skills. ? Understanding of automation/other tools to increase efficiency. ? Strong problem solving and research skills. ? Ability to troubleshoot and resolve process inefficiencies (i.e. bugs) in the repository. ? Strong attention to detail. ? Strong oral and written communications skills. |ACCOUNTABILITIES: ? Perform daily data loads ensuring recurring updates are logged and tracked. ? Interface with other technical personnel or team members to document, interpret, and finalize requirements. ? Produce code that is efficient, repeatable, without defects, and adherent to best practices such as naming conventions, encapsulation, etc. ? Write and review portions of detailed specifications for the development of data components. ? Complete complex data engineering bug fixes and issues, researching and identifying root causes as appropriate. ? Identify opportunities to apply automation or other tools to improve effectiveness or efficiency. ? Work closely with other development team members to understand complex product requirements and translate them into data engineering and/or data management designs. ? Innovate process improvements that enable efficient delivery and maintenance. ? Successfully implement development processes, coding best practices, and code reviews. ? Operate in various development environments (Agile, Waterfall, etc.) while collaborating with key stakeholders. ? Identify areas where it is an advantage to work with other teams to improve overall quality, and, with peers or others, implement initiatives improving capabilities and efficiency. ? Train entry-level data engineers as directed by department management, ensuring they are knowledgeable in critical aspects of their roles. ? Keep abreast of new technology developments. ? Design and works with complex data models. ? Mentor less senior data engineers on methodologies and optimization techniques. ? All other duties as assigned

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  • Advanced knowledge of software development methodologies (e.g., Agile, Waterfall).

  • Strong proficiency with data manipulation language including optimization techniques.

  • Strong understanding of normalized/dimensional data modeling principles.

  • Strong knowledge of multiple data storage subsystems.

  • Expertise in development languages including but not limited to: Python, R;

  • Strong knowledge in Industry data engineering best practices.

  • Knowledge in using and developing in applicable toolsets.

  • Ability to interface competently with other technical personnel or team members to finalize requirements.

  • Ability to work well with internal and external technology resources.

  • Knowledge of test-driven development.

  • Ability to write and review portions of detailed specifications for the development of complex system components.

  • Understanding of automation/other tools to increase efficiency.

  • Strong problem solving and research skills.

  • Ability to troubleshoot and resolve process inefficiencies (i.e. bugs) in the repository.

  • Strong attention to detail.

  • Strong communications skills. Good English skill.