Data Engineer

Location: Toa Payoh

*** Mention DataYoshi when applying ***

Data Engineer


  • Hands on experience in implementing data integration processes, designing and developing data models and building in detail ETL/ELT processes or programs.
  • Contributed in at least 2 phases of SDLC lifecycle and experience in Big Data, data warehouse, data analytics projects, data migration, change management process, and/or any IM (Information Management) related works.
  • 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 understanding on Cloudera or Horton Works distributions
  • Experience in working with RDBMS technologies such as, Oracle, Microsoft SQL Server, PostgreSQL, DB2, MySQL, Maria DB, etc .
  • Hands-on experience on Spark, SparkSQL, Hive QL, Impala, Spark Data Frames and Flink CEP, as ETL framework
  • Strong knowledge of Big Data stream ingestion and stream processing using Kafka and Spark Structured Streaming, Flink
  • Good understanding Spark Memory management with and without Yarn memory management
  • Should have experience developing and designing in one or more NoSQL database technologies such as Cassandra, Mongo, HBase, CouchDB/Couchbase, Elasticsearch etc.
  • Should good working knowledge of HCatalog and Hive Metadata.
  • Should have working knowledge of Kerberos authentication tool
  • Good knowledge of data warehouse and data management implementation methodology.
  • Knowledge and experience in data visualisation concepts using tools such as Tableau, Microsoft PowerBI or QlikView etc. will be an advantage.
  • Ability to pick up new tools and able to be independent with minimal guidance from the project leads/managers.
  • Hands-on programming skill on Scala/Python using Spark/Flink Framework

*** Mention DataYoshi when applying ***

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