Job Description

About the Company Hello! Welcome to Plaza Premium Group, we\'re people passionate about \'Making Travel Better\'. We are a global company with team members from all walks of life, together we are #PPGFamily, together we are building a legacy. You don\'t need to be from this industry, you do need to be passionate. Our promise to you: We will respect and value your background and perspectives We will work together with integrity We will share our incredible pride for job, company and industry What we ask of you: Bring passion to all that you do Listen, move fast and think innovatively Speak up, have ideas and share them Believe in customer service, and treating every person with kindness As industry leaders in innovating global airport hospitality you will work with colleagues from all parts of the world for a truly global experience. You will help and craft services and facilities in over 200 locations in more than 60 international airports across the world. Who we are We were established in HK in 1998 by someone who understood the value of an airport lounge and felt that the experience shouldn\'t just be limited to a closed-circuit group of travelers. Through the years we have worked incredibly hard to create an experience which is both accessible and quality. Almost 25 years later we now span four core business segments: airport lounges, airport terminal hotels, airport meet & greet services, and a range of airport dining concepts. In addition to our own brands, PPG provides airport hospitality solutions to leading airlines, alliances and corporates around the world. Here are a few names you might recognize: Cathay Pacific Airways, Singapore Airlines, Lufthansa etc. With the future of travel always in sight, we created Smart Traveler, a mobile-app rewards program underpinned by in-house technology. We are fast-moving and always evolving to drive our purpose of making travel better. Join our family today. Together, we\'ll make travel better. What you\'ll be doing - As the EDW data engineer in a multi-national company, you will be the primary lead taking care the cloud-based enterprise data warehouse in Snowflake which integrates data from over 25 data sources purposed for BI and insight generation. You will work closely with cloud engineers, data architect, and data pipeline engineers in HQ, as well as BI analyst across the world. To continuously enrich the contents for new analytics initiative, you will design data models, build data warehouse pipelines and manage healthiness of the platform. You are encouraged to explore latest big data and cloud technologies and we offer plenty of rooms to extend your exposure to latest data technologies. Job Responsibilities: The technical lead will also be responsible for owning the technical design, managing code repository, and ensuring compliance to engineering team guidelines on the practices and processes as mandated by PPG. Innovate: Research industry & market trend and refresh internal technology standard. Design data model for BI and analytics purposes. Design and develop scalable and reliable ETL pipelines which integrates data from Data Lake. Establish data governance models within the enterprise data warehouse, for metadata management, change data capture and schema evolution in data sources. Improve the data devops practices for continuous development and checking in the mission-critical data warehouse. Experiment a real-time data based next generation data warehousing. Job Requirements: Degree holder in Information Systems, Computer Science, Big Data or related disciplines. 3+ years of experience in cloud enterprise data warehouse, Snowflake or AWS Redshift preferred. Track records in data model design for data blending with both internal and external data. Proficiency in SQL is a must. Plus proficiency in at least one of the programming languages in Pythons (PySpark), Java, Scalar or R. Experience in handling noSQL data (e.g. JSON, Delta Table) within Data Warehouse. Understanding of cloud data services (e.g. AWS, Azure, Databricks). Basic understanding of ML/AI models, cognitive services, IOT and data streaming. Good analytical, organizing & communication skills. Good business sense. Good command of both written and spoken English and preferable Mandarin/Cantonese (to deal with China clients and partners).

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