Job Description
Requirements:
- Bachelor's degree in Computer Science, Information Systems or related disciplines
- 5 - 8 years of experience in Data Engineer / ETL Developer / System Integration
- Advanced working SQL; NoSQL; MongoDB knowledge and experience working with relational databases
- Experience in building and optimizing data pipelines, integration design, 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: 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
Click "Apply Now" to apply for this position or call Andrey Sin at +852 3180 4951 for a confidential discussion. All information collected will be kept in strict confidence and will be used for recruitment purpose only.
