We are now looking for a professional to join our data management team for OTT service, Viu located in Hong Kong. With over 66 million monthly active users (MAU) and 12 million paid subscribers, Viu is a leading pan-regional OTT video service with presence across Asia, the Middle East, and South Africa. The role will be responsible for building up best-in-class data infrastructure, Business Intelligence and Analytics solutions; joining the engineering team of highly skilled software, infrastructure, and data professionals to support the data and information needs of various business units and stakeholders. This involves formulating, communicating, and executing a holistic and forward-looking data strategy that leverages industry best practices around data and technology. The incumbent will also work with cross-functional teams within the organization of 9 markets. This is a unique experience working with PB size of data, by using modern data technologies, such as AWS, GCP, Databricks, Snowflake, and dbt. Key Responsibilities Lead the entire data solution lifecycle including requirement gathering, solution design, implementation, and releasing. Oversee the end-to-end data flow, including data collection, transformation, enrichment and integration, to make sure they are usable, accurate, consistent across the reports and downstream applications. Collaborate with cross-functional teams on the data needs, and conduct the roadmap to build the data engineering capabilities to proactively meet the business needs. Work closely with the Data Analytics and QA teams, to ensure data quality and provide high availability. Manage the team resources and schedule to ensure the data platform is delivered effectively, with high quality, accuracy, security, on time, within budget, and efficiently handle ad hoc analytics queries. What you'll need to succeed To be successful in your new position it is important that you are someone who is forward-thinking and who takes initiative. Also, it is essential to have the following skills: 5+ years related experience in data engineering and data platform. Degree holder, preferably from statistics, computer science or related disciplines. Proficiency with SQL, and at least one object-oriented language (Python, Java, etc.). Track record of delivering large-scale, secure, and highly available data pipelines in a cloud environment, preferably AWS or GCP. Expert in data architecture, data models and ETL pipeline, with modern data technology, such as Snowflake, Databricks, dbt, and Kafka. Domain experience in the digital marketing, e-commerce, CRM, MarTech or AdTech fields is highly desired. Flexible and able to work in a dynamic environment and manage your own time in a high-paced work environment and tight timeline. Good command of both written and spoken English and Chinese. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering, Information Technology, and Analyst Industries
Entertainment Providers, Technology, Information and Media, and Broadcast Media Production and Distribution
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