Urgently Looking for Data Engineer (Junior to Senior Level)

Salary 72000 - 120000 SGD
Number of positions to fill : 5
Reference number : 8623

Employment terms
Permanent
Employment date
2018-10-17
Location
Singapore
Years exp required
4-10 Years
Skills
Java, Python, Amazon AWS,Hadoop, HDFS, HBase, Hive, Spark etc

Description



We are looking for a Data Engineer to to build robust data platforms that incorporate data science and machine learning algorithms and models that solve problems in telco network management, transportation, urban planning, real time crowd management, and retail intelligence, to name a few. This is a great opportunity to sharpen your big data skills and grow in maturity of your software development capabilities.

The Major Roles Responsibilities and Requirements are Below:

Responsibilities

  • design and implement scalable and robust software platform for ingesting and transforming telco network datasets in (near) real-time and visualizing the data insights through an interactive dashboard, using a variety of open-source and proprietary Big Data technologies
  • collaborate with product management, sales and marketing, and solution delivery teams to ensure customer requirements are well managed and reflected in product releases
  • support the deployment of DataSpark software within clients' IT environment
  • working closely with senior data engineers and data scientists to build companie's data science and machine learning algorithms into products

Requirements

  • 3+ years of superior software development experience building commercial large-scale software systems and database systems
  • Degree qualified in Computer Science, Software Engineering, or equivalent
  • Demonstrated practical in-depth knowledge of data integration, metadata and BI analytics tools, frequently used by telcos
  • Experience in active commercial deployment of emerging Big Data technologies and real-time analytics
  • Good understanding of Telco data models, knowledge about telco network capabilities a plus
  • SQL and Relational Database Management System
  • Parallel programming (Hadoop, HDFS, HBase, Hive, Spark etc.)
  • Java, Python, Amazon AWS
  • Agile software development practices
 

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