Data Engineer - Mid to Senior level roles

  • Location

    Singapore

  • Sector:

    FinTech

  • Job type:

    Permanent

  • Contact:

    Tripti Devleker

  • Contact email:

    tripti.devleker@cloudstreamglobal.com

  • Job ref:

    JN -012019-91815

  • Published:

    15 days ago

  • Expiry date:

    2019-03-10

  • Startdate:

    2019-01-29

  • Consultant:

    Tripti Devleker

Job description

We are given mandate to build Data engineering team for our client who is looking for a dynamic, self-motivated and technically competent individual who has an interest in data and technology – data architecture, data modelling, data integration etc. Specializing in the Data domain, you will work in a high-pace data engineering team that is delivering and supporting our clients data needs.


Reach out to me if you have :

A good degree in Computer Science, Computer Engineering or equivalent

• Relevant working experience in data modelling and data integration, preferably in an investment and banking environment.

• Experience working with enterprise databases using database technologies (PL/SQL, SQL, NoSQL) data integration products (e.g. Informatica)

• Good knowledge of Linux family of OS


Exposure and knowledge in any of the following technologies is advantageous:

• Big Data

• Hadoop Technologies: HDFS, Zookeeper, Yarn, Spark, Hive, Impala, Sqoop, Solr, ELK, Flume, Kafka

• Hadoop Platforms: Cloudera, Databricks

• NoSQL Databases: Neo4J

• Cloud based Big Data Services: AWS EMR, Azure HDInsight

• Elastic Search

• Programming/Scripting Language

• Python

• Java/Scala

• Shell Script

• RESTful Data API

• Experienced with the Systems Development Life Cycle implementation methodology (SDLC) and/or agile methodologies like Scrum and Kanban.

• Good team player, with strong analytical skills and enjoy complex problem solving with innovative ideas

• Strong communication/people skills required to interact with data analysts, business end-users and vendors to design and develop solutions

• Passion for data and technology

• CFA equivalent certifications would be an added advantage.

• Good at working with details and is meticulous for operations