Data Engineer

Greenline Synergy Co., Ltd. (Suan Luang, Bangkok)

Bangkok, Thailand

Greenline Synergy Company Limited is a subsidiary Company of BDMS (Bangkok Dusit Medical Services) established in 2008 to be act as the center for information technology. To provide BDMS with a secure, resilient, robust, and cost-effective IT environment through IT professional service standards and healthcare IT innovation solutions to achieve digital transformation and interoperability for connected care delivery.

Detail posisi

The Data Engineer position involves supporting existing data models and designing new enhancements within a Cloud data architecture, while also learning and implementing new ETL tools.

Kewajiban

• Provide support the existing and design new/enhancement of data model on Cloud data architecture.
• Hands on to learning about new ETL tools from vendor and take owner after completed to learning.
• Gather requirements and business process knowledge in order to transform the data in a way that’s geared towards the needs of end users.
• Research and properly evaluate sources of information to determine possible limitations in reliability and usability.
• Analyzing and making use of the information in helping an organization carrying out its laid-out business plans.
• Refer to previous instances and findings to determine the ideal method for gathering data.
• Regularly monitor and evaluate information and data systems that could affect analytical results.
• Work with the business in designing and delivering correct, high quality data.

Kualifikasi

• Bachelor or Master’s Degree in Computer Science, Information System, and MIS or related.
• At least 1 years’ experience related position.
• Strong skills in SQL and familiarity with ETL tool and concept.
• Skills in cloud based data technology, if any.
• Ability to complete milestones and work toward multiple deadlines simultaneously.
• Excellent multitasking skills and task management strategies.
• Working experience in Healthcare industry would be an advantage.
• Ability to pick up new data tools and concepts quickly.