Major media company in Hong Kong with strong digital focus
• Work on collecting, storing, processing, and analyzing data from a variety of formats and back-end systems.
• Building integrated data pipeline that allows the business to draw valuable insight from the data lake and data warehouse; self-driven and thrive on apply innovative techniques, make sense of complex data environments, apply engineering knowledge and latest techniques in big data, machine learning and data science in a commercial product.
• Build self-monitoring, robust, scalable, reusable interfaces and data pipelines for 24/7 operations.
• Design and Implement ELT/ETL processes to enrich our growing cloud-based data lake and data warehouses.
• Make ongoing enhancements to our dynamic data foundation framework.
• Analyze structured and unstructured data, visualize findings and discover insights via data modelling, machine learning and optimization technique.
• Processing, cleansing, and verifying the integrity of data used for analysis.
• Assist the evaluation, selection and implementation of tools for data integration, analytics, machine learning and visualization.
• Perform on-going support, release upgrade, data model changes, reporting enhancements and implementations to other group entities.
• Work closely with stakeholders on the data supply side (domain experts on source systems of the data) and data demand side (data analysts and data scientists).
• Develop Machine learning related application.
• Degree Holder in Computer Science, Engineering, Statistics or equivalent discipline.
• 4-6 years hands-on experience in data warehousing technical components (e.g. Data Modeling, ETL and Reporting), Business Intelligence tool, infrastructure and their integration.
• Experience with design, creation, management, and business use of extremely large datasets and scalable ETL process.
• SQL Expertise and Hands-on experience in data modeling, data warehousing, pipeline design and development; strong analytical and problem-solving skills.
• Solid experience in programming such as SQL / Python / Scala / NodeJS / R.
• Experience with Big Data technologies: Hadoop, Spark, MapReduce, HDFS or Big Data querying tools: Pig, Hive, and Impala is desirable.
• Solid knowledge in server-side web application and middleware framework such as Express.js.
• Expertise with modern and emerging web API standards and technologies (REST, SOAP, XML and/or JSON) and Data Extract API.
• Proficiency in code versioning tools such as GIT, SVN, CVS.
• Experience in AWS, Google Cloud or other Public cloud environment is highly desirable.
• Good to have: Solid knowledge in server-side web application and middleware framework such as Express.js. / Proficiency in machine learning framework (TensorFlow) and algorithm (regression, decision tree). / Experience with NoSQL databases, such as HBase, Cassandra, MongoDB, Redis / Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming (preferable) / BI knowledge and experience (e.g. Tableau, Qliksense, MS Power BI) / Knowledge in mobile app development
• Enthusiastic on learning new technologies and capable to implement solutions by using them to provide new functionality to users.
• Strong sense of responsibility and passion in emerging technology.
• Working experience in digital media industry is a plus.
