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Software Engineer (Big Data) Kuala Lumpur, Malaysia

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Software Engineer (Big Data) Description

Job #: 74607
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.


We are looking for an experienced Software Engineer (Big Data) to be placed in our Office in Bangsar South MY. As a Junior Engineer will be roll-up the functional and technical aspect of Software Development with a big data technology in Project space to cloud services.

EPAM Systems, Inc. (EPAM) is a global product development, digital platform engineering, and digital and product design agency headquartered in the US. EPAM has been named 5 times in Forbes’ 25 Fastest Growing Public Tech Companies. Kuala Lumpur is the most recent location in which EPAM has acquired a new business. This is your opportunity to join an organization in start-up mode that plans to (at least) double in size every 2-3 years and the team that you are joining will be responsible for that.


  • Implement innovative analytical solution using Hadoop, NoSQL and other Big Data related technologies, applying new features in Cloud/ on premise/ Hybrid solutions
  • Work with product and engineering teams to understand requirement and help drive decisions
  • Maintain collaboration with architects, technical leads and key individuals within other functional groups
  • Perform analysis of business problems and technical environments and use this in implementation of quality technical solutions
  • Participate in code review and test solutions to ensure it meets best practice specifications
  • Maintain high performance engineering culture
  • Write project documentation


  • Candidate must possess at least Bachelor’s Degree in preferably Computer Science/ Information Technology or equivalent
  • Candidates with a minimum of 2 year’s solid experience in Big Data technologies and Enterprise Software Development
  • Familiar with concepts of data ingestion pipelines, Data Warehousing, Data Lakes
  • Experience with data modelling; development experience with modern Big Data components
  • Understanding of CI/CD principles and best practices
  • Knowledge and practical experience in development of scalable, available and fault tolerant systems
  • Familiar in Engineering experience and practice such as Data Management, Data Storage, Data Visualization, Operation, Security
  • Knowledge of Containers and Resource Management systems: Docker, Kubernetes, Yarn
  • English proficiency


  • Relevant:
    • Programming Languages: Java; Python; SQL
    • Big Data stack: Hadoop, HDFS, Spark, Kafka
    • Queues and Stream processing: Kafka Streams; Spark Streaming; Event Hub
    • Version Control Systems (Git, SVN)
    • Testing: Component/ Integration Testing, Unit testing (JUnit)
    • Familiar with Cloud Experience Azure / GCP
    • Experience in various messaging systems, such as Kafka, RabbitMQ
    • Rest, Thrift, GRPC, SOAP
    • Build Systems: Maven, SBT, Ant, Gradle
  • Add-up as advantages:
    • NoSQL as a user: Cassandra/ Hbase/ MongoDB
    • Search: Solr, Elasticsearch / ELK
    • InMemory: Ignite, Redis

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