Position

Data Engineer,
Singapore

Location


Singapore

Office Address


Project Description


We are building the next generation services for the digital channels using agile methodology and modern technologies. As part of our team you will play a key part in the bank's digital transformation journey.

Our technology stack:
• Java 8
• Spring Boot
• MySQL Database
• Git
• Pivotal Cloud Foundry
• Jenkins
Hands-on experience on Spark, SparkSQL, Hive QL, Impala, Spark Data Frames and Flink CEP, as ETL framework
Hands-on programming skill on Scala/Python using Spark/Flink Framework

Our values:
• Customer centric design
• Production quality code
• DDD - Domain Driven Design
• TDD - Test Driven Development
• Pair programming
• Automated Devops pipeline

Responsibilities


    • Have a continuous improvement mindset.
    • Take part in software design activities & discussions.
    • Write production quality code.

Skills


Must have

    • BS/MS degree in Computer Science, Software Engineering or a related subject.
    • Comfortable with practicing TDD and pair programming.
    • Well versed in DevOps.
    • Experience with Hadoop Technologies such as HDFS/MapRFS, Map Reduce(II), Advanced HDFS ACLS, Hive, HBase, Cassandra, Impala, Spark, Sqoop, Kafka, Nifi, Flink, Druid, Zookeeper and zkClient tool
    • Good knowledge on Object Oriented design principles.
    • Strong knowledge of Big Data stream ingestion and stream processing using Kafka and Spark Structured Streaming, Flink
    • Hands on experience with Object Oriented programming.
    • Experience in Database Technologies
    • Experience in agile software development
    • Knowledge on Linux is a plus.
    • Knowledge on cloud platforms is a plus.

Nice to have

    • Knowledge about the infrastructure paradigms such as OS, network etc. is an added advantage.
    • Certification in any of Hadoop Big Data tool/technology, data integration, data management, or visualization tools is an added advantage.

Languages


English: C2 Proficient

Seniority


Regular

Relocation package


If needed, we can help you with relocation process. Click here for more information.

Work Type


BigData (Hadoop etc.)

Ref Number


VR-60467