Data Analytics Engineering

Short Description

HGST is seeking for experienced Data Analytics Engineering who will design, develop and maintain analytics systems independently. And ability to communicate to all parties within department and inter-department.

Job Description

Essential Duties And Responsibilities:
  • Meeting users, gathering user requirements and communicating requirements to technical team member for technical solution design, feasibility study & planning.
  • Translate User Request into Analytics Solution from system perspective.
  • Mocking up visualization for user review
  • Design, develop and maintain Analytics Systems independently.
  • Delivered/completed tasks within the plan timeline. Provide accurate plan to deliver tasks
  • Ability to communicate to all parties within department and inter-department.
  • Participating in Analytics System Implementation. Provide alternative / innovative solution on system issue / implementation.
  • Database Admin, ETL, Data Preparation, Web App Development, Visualization development, DevOps, SAS Programming and Analytics

Educational Qualification Required:
  • A Bachelor's Degree in Information Technology, Computer Science or other related fields.
  • A minimum of 6 - 10 years of experience in related IT, Data Analytics and/or Engineering/ Manufacturing Industries.
  • Profound analytical, logical thinking and problem solving skills.
  • Implementing Big Data and Analytics system.
  • Working Knowledge & Experience in AWS Cloud environment and SAS platform will be added advantages

  • Data Technology, Databases (MSSQL), MPP Platform (PDW & Redshift), Hadoop technologies (Hive, Impala, Cassandra, Presto, etc.), ETL Tool (SSIS, SAS DI etc.), SQL, Scripting and SAS programming.
  • Web App Development: Web Application Architecture, UI/UX Design, Front-end Development, HTML, PHP, JavaScript, AngularJS/ReactJS, Dockerization, bit bucket.
  • Data Visualization/BI Platform: Spot fire, Tableau and SAS Visual Analytics.
  • Scripting: Java, PowerShell, Python & SAS Programing
  • Edge Computing/Streaming: Apache Spark, Kafka, or related Streaming Analytics technologies
  • Analytics Tool: SAS, JMP and R                           
  • Demonstrate a good level of English proficiency (written / verbal)
  • Strong listening, communication, interpersonal and relational skills to develop a good relationship within the organization

Data Analytics Engineering
Mid-Senior-level Technology | Information Technology | Information Full-time Information Technology | Other | Engineering Data Engineer | Data Science | Java | Python | Research Scientist
HGST is a global leader in data storage, unlocking potential by helping the world harness the power of data. With a deep understanding of industry needs and a changing technology landscape, HGST is driving data center transformation with innovative, proven, smarter storage solutions that optimize capacity, performance, efficiency and reliability with the lowest TCO. Trusted by the world's largest organizations, HGST'S storage solutions are everywhere, touching lives and enabling possibilities for the enterprise, cloud computing and sophisticated infrastructures in healthcare, energy, finance and government.