Software Developer for Large-Scale Recommendation Systems

4 hours ago

Singapore beBeeSoftware Full time

We're seeking an expert in real-time data systems to join our team.

Job Description

About the Role

We are looking for a skilled software engineer to design and implement large-scale recommendation systems. The ideal candidate will have a deep understanding of streaming computing systems, with formal production experience in developing TB-level Flink real-time computing systems.

Responsibilities

  • Design and Implement Real-Time Data Systems: Develop scalable and high-performance storage systems and computing models for large-scale recommendation systems.
  • Troubleshoot Production System Failures: Troubleshoot production system failures, design and implement necessary mechanisms and tools to ensure overall stability of the production systems.
  • Construct Industry-Leading Streaming Computing Frameworks: Construct industry-leading streaming computing frameworks and other distributed systems to provide reliable infrastructure for massive data and large-scale business systems.
  • Research and Development: Research, design, and develop computer and network software or specialized utility programs.
  • Analyse User Needs: Analyze user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis.
  • Software Enhancement and Validation: Update software, enhance existing software capabilities, and develop and direct software testing and validation procedures.
  • Integration with Hardware Engineers: Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements.

Requirements

  • Education: Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
  • Skills: Strong coding and troubleshooting skills; Proficient in programming languages like Java, C++, Scala, Python.
  • Experience: Deep understanding of streaming computing systems, with formal production experience in developing TB-level Flink real-time computing systems. Proficient in modules like FlinkDataStream, FlinkSQL, FlinkCheckpoint, FlinkState, and preferably with experience in reading Flink source code.
  • Data Lake Experience: Experience in data lake development is preferred. Familiar with at least one data lake technology such as Hudi, Iceberg, DeltaLake, and preferably with experience in reading their source code.
  • Big Data Systems: Familiarity with other big data systems is preferred, including YARN, K8S, Spark, SparkSQL, Kudu, and others.
  • Storage Systems: Experience in storage systems such as Hbase, Cassandra, RocksDB.

Preferred Qualifications

  • Handling PB-Level Data: Experience in handling PB-level data is a plus.

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