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Senior Software Engineer / Software Engineer (Big Data) Singapore, Singapore

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Senior Software Engineer / Software Engineer (Big Data) Description

Job #: 50415
Striving for excellence is in our DNA. Since 1993, we have been helping the world’s leading companies imagine, design, engineer, and deliver software and digital experiences that change the world. We are more than just specialists, we are experts.

DESCRIPTION


We are looking for an energetic Software Engineer specialized in Big Data in Singapore to make the team stronger.

Responsibilities

  • Play a developer role
  • Write high quality and testable code following clean code principles
  • Implement functionality by following defined software development process without direct supervision
  • Read and understand project and requirement documentation
  • Create documentation describing his/her code
  • Participate in Agile Scrum activities: daily standup, demo session, retrospective, planning, etc

Requirements

  • Polytechnic Diploma or above in Computer Science
  • Minimum 3 years of experience in software engineering and Big Data
  • Advanced knowledge at least one programming language such as Java, Python, Scala
  • Familiar with SQL, Bash
  • Experienced in any of big data technologies and frameworks below:
    • Spark, Spark Streaming, Kafka/ Kafka Streams, Hadoop, Yarn, HDFS, Hive, Airflow, Jupyter
    • Parquet, ORC, AVRO, CarbonData
    • Lambda, Kappa, Data Lake
    • NoSQL Data Bases
    • Data platform
    • Machine learning
  • Software Professional with experience in IT mostly with JVM based technologies and frameworks
  • Has background with different platforms and strong focus on back-ends / Big Data / Analytics Solutions
  • Core professional expertise includes: Platform Architecture, Data Pipelines Architecture, Infrastructure Deployment and Management
  • Able to support existing and potential customers with requirements capture, solutions architecture, system design, solution prototyping
  • Experience with building traditional Cloud Data Warehouses, Data Lakes. Close and intensive work on previous projects with Containers and Resource Management systems: Docker, Kubernetes, Yarn
  • Designed, prototype and adjust end to end solution
  • Designed and implemented set of ingestion workflow to parse, transform and validate input data
  • Designed and developed independent CI/CD pipelines
  • Provided technical guidance for the support team
  • Participated in communication with customer on every phase

We offer

  • Friendly team and enjoyable working environment
  • Work-life balance and flexible schedule
  • Online training library, mentoring, career development and potential partial grant of certification
  • Unlimited access to LinkedIn learning solutions
  • Referral bonuses
  • Compensation for sick leave and paid time off
  • Opportunities for self-realization

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