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.

Job requirements

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.

What we offer

An exciting and passionate working environment within a young and fast-growing company.
The opportunity to work with a high performing team.
A competitive salary package.
The ability to work from anywhere in the world (assuming a stable internet connection).
The chance of being a fundamental part of the team and making a difference.

What will the process look like?

Job Type: Full Time

Data Engineer

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