Data Engineer - Python or Java Big Data Developer

HK Technology

02 Feb 2017

HK

Technology

Information Technology

Full Time

1

In this role as a Data Engineer, you will join a dynamic team to build a quantitative research platform and its supporting infrastructure including trading components.

Responsibilities:

In this role, you are responsible for the greenfield development of a quantitative research platform and trading components to support business growth and are expected to:

  • Participate in the entire software development lifecycle including design, implementation, testing, deployment, and support
  • Ensure consistent delivery of software releases and hand-over to end-users
  • Work along-side the existing ecosystem of latency-sensitive in-house and commercial trading technologies
  • Work in close collaboration with a dynamic team of top technologists, scientists, traders as well as external stakeholders

Basic Qualification:

  • Expert in both batch and stream processing, data stream mining, streaming algorithm
  • Expert in the Apache Hadoop ecosystem: Spark, Flink, Pig, Beam, Malhar, HBase, Kafka, Samza...
  • BSc / MSc / PhD in Computer Science or related degrees
  • Highly knowledgeable in one or more of the following languages: Python / Java / Scala / Golang (Go)
  • Operational knowledge in Git, Bash scripting, Linux
  • Clear understanding of algorithms and data structures
  • Mathematically-inclined mind with an analytical approach to problem solving
  • Ambitious, self-motivated, resourceful technology enthusiast

Desirable expertise, at least one:

  • Data science
  • Machine Learning concepts or tools
  • Cluster orchestration (YARN, mesos, kubernetes...)
  • Public cloud compute platforms
  • Event-driven distributed systems
  • Microservices
  • Docker
  • DevOps

Very competitive compensation package.

Medical insurance plan, discretionary bonuses, meals provided (breakfast, lunch, afternoon tea), 5-days week, startup culture.

Interested candidates, please submit your resume. All information will be treated as strictly confidential.