Data EnginnerPosted: 2 months ago
Description: Responsible for the implementation and design and development of the data analytics framework for the GBaaS solution. Be familiar with standard data modelling concepts, practices, and procedures with data warehouses, data marts. Must rely on own experience and judgment to plan and accomplish goals. Ability to work under general supervision and also independently. A certain degree of creativity and latitude is required. Responsibilities: - Design, build, deploy and maintain the data for the GBaaS system. Requirements: - 5+ yrs work experience in IT/development - 2+ yrs experience with public cloud platforms such as AWS, Azure, and Google Cloud Platform. - Certification: Google data engineer - SQL, ETL, and other data transformation skills. - Degree in computer science/computer engineering/information technology and/or equivalent work experience. Skills: - Full stack understanding of GCP development/platform and other public cloud platforms - Serverless / FaaS design principles - Google Functions - Build and maintain data structures, databases, data models and data schemas. - Analyze data and enable machine learning.