Sr. Data Engineer, Data office, IT Emerging Technologies

Contenuto del lavoro

• The (Senior) Data Engineer is responsible for creating data pipelines and delivering data integrations with various cloud and on-premise technologies in the manufacturing domain.
• The individual will work on a cross-functional team, which often include individuals from different business unit such as Production, Engineering, Operations, and IT, to identify, design, and deliver solutions to meet business needs.
  

• Project Planning: Translate business requirements into technical solutions including the creation of detailed work breakdown structures, planning, and execution
• Requirements Analysis: Based on understanding of upstream & downstream systems, provide gaps assessment relative to requirements and technical feasibility of requirements(identify scope/assumption)
• Design: Perform sampling of data to understand the character/ quality of the data Design: Prepare HLD and LLD documents
• Development: Follow coding standards and best practices to develop code and check code quality
• Test Management: Conduct/ guide conducting of unit and integration testing and fix defects
• Deployment: Assess and create deployment/ roll back plan.
• Support: Identify if the incoming request is a service request/ defect during the warranty or an incident; Operational/process improvement and preventative maintenance; by conducting issue/request management and maintenance, develop and implement resolutions that address the root cause of problems
• Configuration Management: Maintain versions of the code or consolidate version maintained by the Developers
• Knowledge Management: Create and update knowledge articles (case studies, lessons learnt) in the knowledge management repository
  

• This role may require occasional travel to domestic and international sites
  

• BS/MS in Computer Science, Computer Engineering, Data Science, Math, or a related STEM Major.
• Minimum 3-5+ years of related experience in data delivery within manufacturing environments
• +5 years of experience using Microsoft SQL server Business Intelligence Development Studio (SSIS, SSRS, SSAS, Power BI) and data warehouse management
• +3 years of Business Intelligence level role in ETL(SSIS, Qlik Replicate), Analytics, Business Intelligence or Dashboards experience
  

• Programing languages experience, such as C#, Java, Python, R, and SQL
• Database fundamentals such as how data is stored in tables, relational database concepts, data manipulation language [DML], and data definition language [DDL]
• Knowledgeable in various database types, such as Relational, NoSQL, Cloud, Disturbed, and Graph ETL tools and APIs
• Application lifecycle management and associated software development lifecycles that are used in the development phase
• Experienced working with IT systems operation in a 24/7 manufacturing environment
• Visualization tool implement experience (such as Power BI, SSRS, Tableau, Cognos . Etc)
• Knowledge of manufacturing or ERP process and data would be plus
  

• Needed Effectively communicate clear and concise concepts, designs, and status to upper level management and low-level engineers/operations.
• Self-motivated to address technical and nontechnical needs as they arise
• Organize thoughts and ideas to ensure attention to detail is met
• Manage multiple tasks to meet conflicting customer needs and schedules
• Deliver results to customer and team to meet business objectives
• Collaborate with cross functional teams
• Good English & Chinese communication in speaking, writing and presentation, TOEIC 550 and above(able to work and conference call with global team with collaboration)
• Experience of working in global company and interaction with global team, co-work with members with different culture/working model.(non-mandatory)