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Data Engineer

Loker ini dikelola oleh

R
Rekruter

Persyaratan

Kerja di lokasi
Pengalaman kurang dari 1 tahun
Minimal Diploma (D1 - D4)
20-30 tahun

Skills

Redis

SQL

PostgreSQL

Kafka

Programming Languages

Python

Cassandra

JavaScript

HTTP

Deskripsi pekerjaan Data Engineer Cad-it Iot Centre

Job Description:

  • Perform data cleaning and ingestion
  • Map data from various data sources
  • Develop ERD and database systems
  • Integrate data from various systems including logic development
  • Develop and deploy data pipelines to solve clients’ problem statements

Requirements:

  • Bachelor or Master degree in Computer Science/Informatics/Mathematics/Physics/Electrical Engineering or equivalent
  • Strong Relational Database knowledge in SQL Server, IBM Db2, Oracle, or PostgreSQL
  • Experienced in Non-Relational Database (Cassandra, MongoDB, Neo4J, Redis, or Cosmos DB) is a plus
  • Strong knowledge in one or more programming languages such as python, C, C#, Java, Scala, R, or JavaScript
  • Experienced in Big Data Tools (Spark, Hive, or Hadoop) and Kafka is a plus
  • Experienced in Cloud Technology is a plus
  • Knowledge of data transmission protocol (such as HTTP/HTTPS, MQTT, or etc) is a plus
  • Experienced with Git is a plus
  • Experienced with Redis is a plus
  • Willing to learn new technologies
  • Interested in Industry 4.0
  • Strong technical documentation
  • Strong verbal and written English are preferred

Tentang Perusahaan
Cad-it Iot Centre
Information Technology and Services

Hi there!

CAD-IT IoT Centre is part of CAD-IT Consultants (Asia) Pte Ltd, a Singapore company since 1991 that nowadays has 10 global offices.

Established in April 2017, CAD-IT IoT Centre is expanding its Industry 4.0 Transformation in the Asia Pacific, America, Australia, and Europe. We have around 50+ dedicated and expert engineers spread across Singapore, Indonesia, Malaysia, Thailand, and China. We have a goal to be a leading Industry 4.0 Centre of Excellence in transforming various Industry verticals through innovation, technology, and collaboration.

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Data Engineer