Senior Data Engineer

Multinational technology group KKCompany Technologies is a pioneer in the field of software services. The company is dedicated to creating values for customers with core businesses of multimedia technologies, digital cloud, and AI applications.

At KKCompany, we believe “Innovation Made Simple,” and technology is the answer to the struggles faced by every industry. Since its establishment two decades ago, KKCompany has expanded its portfolio, including KKBOX, BlendVision and Going Cloud. KKBOX is the world’s first platform bringing legal music streaming service to the public. It utilizes state-of-the-art streaming technology to enable excellent user experience. Our flagship brands and a base of international clients enable us to accumulate extensive data and advance analytical capabilities. The strengths along with our abundant experience in brand management help businesses achieve digital transformation successfully. We serve over tens of millions of consumers and enterprise clients in Asia cross a broad spectrum of industries such as telecommunication, multimedia, online education, fitness, smart retail and more.

KKCompany now has over 500 employees across offices in Tokyo, Singapore, Taipei, Kaohsiung, and Hong Kong.

Team Information

The main aim of the Data Platform team is to leverage data to provide insights and evidence to help the stakeholders take meaningful business actions. With the help of key findings and reports from the team, the Business Leader will be all set to make an informed decision. If you’re passionate about leveraging data to drive business and help organizational leaders to take meaningful actions, we want to hear from you.

Responsibilities

• Design and implement ETL/ELT processes to integrate data from a variety of internal and external sources into an analytical-based data model, in order to support business analytics or product development
• Develop procedures for tracking data quality, completeness, redundancy, and improvement
• Create processes for governing the identification, accuracy, collection, and use of metadata
• Responsible for data accuracy, maintenance, and support within the analytical-based data model
• Work closely with data analyst and development teams to implement solutions that enable them to do their jobs
• Documents ER diagram / Data catalog ensuring long-term maintainability

Requirements

• 7+ years of experience in building and operating large-scale distributed systems or application
• strong programming skills in one or more of the following languages: Python/ Scala/ PySpark /SparkSQL
• Experience in ETL or ELT (designing, coding, and tuning data processes from various sources)
• Experience with cloud solutions like AWS or GCP
• Experience with tech stack tools such as Airflow/Jenkins
• Ability to translate ‘tech speak’ to meaningful business language
• Team-oriented, open-minded, communicative and eager to learn
• A proactive, data-driven and logical mindset

Nice to Have

• Experience in container technology, such as Docker and Kubernetes
• Experience in backend system design and API development
• Experience in implementing machine learning algorithms.