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HyTech

Data Engineer (Streaming)

3-6 Years
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Job Description

About Us

Hytech is a global management consulting firm headquartered in Australia and Singapore, specializing in digital transformation for fintech and financial services companies. We empower our clients with comprehensive consulting solutions and robust middle- and back office support, enabling streamlined operations and forward-thinking strategies.

With more than 2,000 professionals worldwide, Hytech has built a strong global presence across Australia, Singapore, Malaysia, Taiwan, the Philippines, Thailand, Morocco, Cyprus, Dubai, and other key markets. As we continue expanding globally, we are strengthening our Taiwan team and investing in top talent across financial systems, risk modelling, and data intelligence domains.

About the Role

We are looking for a Streaming Data Engineer to design and build scalable real-time data

pipelines and streaming data platforms.

This role focuses on building high-throughput, low-latency data systems capable of processing

large-scale event streams and enabling real-time analytics.

Key Responsibilities

  1. Design and develop real-time streaming data pipelines
  2. Build event ingestion systems using Kafka or similar messaging systems
  3. Implement stream processing jobs using Flink / Spark Streaming
  4. Develop scalable stream processing jobs
  5. Build and optimize real-time analytical databases
  6. Build and maintain data pipelines supporting both batch and streaming workloads
  7. Support real-time dashboards and data APIs
  8. Implement monitoring and alerting for streaming pipelines
  9. Work closely with Data Scientists, Data Analysts, Backend Engineers, and Platform Engineers

What We're Looking For

  1. 3–6 years of experience in Data Engineering / Backend Engineering
  2. Experience with real-time analytical databases (Starrocks / Clickhouse / Doris)
  3. Experience with streaming data technologies (building distributed data systems)
  4. Proficiency in Python / Java / Scala / SQL
  5. Apache Kafka / Apache Flink / Spark Streaming

What We Offer

  1. A collaborative and inclusive work environment.
  2. Opportunities for professional growth and development.
  3. The chance to play a pivotal role in shaping the future of our organization.

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About Company

Job ID: 150434013