Requirements:

• Bachelor’s degree in Computer Science, Information Systems or related disciplines
• Minimum 5 years of experience in Data Engineer / ETL Developer / System Integration
• Advanced working SQL knowledge and experience working with relational databases
• Experience in building and optimizing data pipelines, architectures and data sets
• Experience in building processes supporting data transformation, data structures, metadata, dependency and workload management
• Experience in Rest API design and development
• Experience in supporting and working with cross-functional teams in a dynamic environment an advantage
• Proficiency in big data tools (Hadoop, Spark) and object-oriented/object scripting languages (Python/Scala)
• Proficiency in AWS cloud services: EC2, S3, AWS Glue, Redshift, Lambda
• Working knowledge of message queuing and stream processing

Responsibilities:

• Create and maintain optimal data pipeline architecture using extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Identify, design, and implement internal process improvements, automating manual processes and optimizing data delivery for greater scalability
• Work with different Business Units to assist with data-related technical issues and support their data infrastructure needs
• Create data tools for analytics and data scientist team members that assist them in building and optimizing data platform into an innovative industry leader

Good remuneration and attractive fringe benefits will be offered to the successful applicant. Interested parties please apply with full resume, present and expected salary, available date by e-mail by clicking 立即申請 or by completing the online application form which is available at www.shkp.com (Please mark the reference on the application letter).

We are an equal opportunity employer and welcome applications from all qualified candidates. All personal data collected will be used for recruitment purpose only. Applicants not hearing from us within 3 months may consider their applications unsuccessful. All personal data collected will be destroyed within 24 months.