As a data engineer you will:

• Design, develop and maintain an infrastructure for streaming, processing and storage of data.

Build tools for effective maintenance and monitoring of the data infrastructure.

• Contribute to key data pipeline architecture decisions and lead the implementation of major initiatives.

• Work closely with stakeholders to develop scalable and performant solutions for their data requirements, including extraction, transformation and loading of data from a range of data sources. • Develop the team’s data capabilities - share knowledge, enforce best practices and encourage data-driven decisions.

• Develop data retention policies, backup strategies and ensure that the firm’s data is stored redundantly and securely.

Solid Computer Science fundamentals, excellent problem-solving skills and a strong understanding of distributed computing principles.

? At least 3 years of experience in a similar role, with a proven track record of building scalable and performant data infrastructure.

? Expert SQL knowledge and deep experience working with relational and NoSQL databases.

? Advanced knowledge of Apache Kafka and demonstrated proficiency in Hadoop v2, HDFS, and MapReduce.

? Experience with stream-processing systems (e.g. Storm, Spark Streaming), big data querying tools (e.g. Pig, Hive, Spark) and data serialization frameworks (e.g. Protobuf, Thrift, Avro).

? Bachelor’s or Master’s degree in Computer Science or related field from a top university.

? Able to work within the GMT+8 time zone