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Realtime Data Engineer

On-site Full-time

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Experience Level

Mid to Senior

Qualifications

We are looking for candidates with a strong foundation in Data Engineering and the ability to learn new technologies quickly. Experience in managing large-scale data platforms and a solid understanding of distributed messaging systems is preferred. Excellent communication skills are essential for this collaborative role.

About the job

Join Our Team!

  • The Realtime Data Engineer will be part of the Realtime Data Team within our Data Division.
  • This team operates a distributed messaging streaming platform, ensuring the stable transmission of large-scale financial transactions.
  • We manage high-volume data pipelines that deliver data with zero latency while maintaining integrity.
  • Moreover, we integrate real-time data into OLAP environments, enabling immediate business decision-making and service enhancement.

 

Your Responsibilities:

  • Operate and optimize our Kafka cluster to ensure high availability of large-scale data from Toss Securities.
  • Utilize tools like CDC, Kafka Connect, Flink, and ksqlDB to construct real-time data pipelines.
  • Manage OLAP to efficiently store and query large volumes of incoming real-time data, optimizing query performance.
  • Enhance architecture for greater throughput and lower latency, proactively assessing and implementing next-gen technologies for reliable data services.

 

Ideal Candidate:

  • Experience managing large-scale data platforms, ensuring infrastructure stability and performance.
  • Proven experience designing and operating Kafka-based architectures or a deep understanding of distributed messaging systems.
  • Intermediate to advanced proficiency in Java (or Kotlin), capable of implementing complex business logic in real-time streaming frameworks (Flink, ksqlDB).
  • Experience building or operating real-time analytics environments using OLAP systems like ClickHouse, StarRocks, Druid, or Pinot.
  • A broad experience in Data Engineering or depth in a specific area, eager to expand your role.
  • Strong foundation in Data Engineering skills, quick to learn new tech stacks, and adept at finding optimal solutions in diverse situations.
  • Excellent communication skills to collaboratively tackle complex problems with the team.

 

Joining Toss Securities:

  • Application Submission > Job Interview > Cultural Fit Interview > Reference Check > Compensation Negotiation > Final Offer and Onboarding

 

Please Note:

  • Any inaccuracies found in the resume or disciplinary issues during employment history may lead to cancellation of the application.
  • Candidates who are prohibited from hiring or have disqualifying reasons according to Toss Securities' regulations may have their applications canceled.
  • Individuals with disabilities or national veterans are given preferential treatment in accordance with relevant laws.

 

A Note for Future Colleagues:

  • Processing transaction data generated in the securities domain in real-time is of high importance from a business perspective and poses significant technical challenges.
  • The Toss Securities Realtime Data Team is at the forefront of this effort, currently maintaining stable securities services.
  • Toss Securities continues to grow. We hope that the entire process of maintaining the systems of a growing securities firm will be an enjoyable journey.

 

About Toss Securities

Toss Securities is a dynamic and innovative player in the financial services sector, committed to providing reliable and advanced solutions to meet the demands of a growing market. Our Realtime Data Team plays a crucial role in ensuring the stability and efficiency of our services.

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