Data Engineer | Kuala Lumpur, MY

Hays; Kuala Lumpur; On-site; MYR 40,000 - 80,000; Full time

Job summary

Join a world market leader in the chemical manufacturing industry as a Data Engineer in Kuala Lumpur. This innovative firm is expanding rapidly and seeks a skilled individual to design and maintain ETL data pipelines, ensuring seamless data operations across the APAC region. You will play a crucial role in transforming raw data and providing technical support throughout the product lifecycle. If you have a passion for data engineering and want to make a significant impact in a dynamic environment, this is the perfect opportunity for you.

Qualifications

• 3-5 years of professional experience in IT or IT Consulting.
• Experience in designing and implementing ETL/ELT data pipelines.

Responsibilities

• Design, build, and maintain ETL data pipelines for data storage systems.
• Monitor and troubleshoot data pipelines and infrastructure.

Skills

Java

Scala

Python

SQL

Education

Bachelor's Degree in Computer Science

Bachelor's Degree in Computer Engineering

Bachelor's Degree in Information Technology

Tools

Databricks

Azure Data Factory

Synapse

SQL Server

Job description

Your new company
A world market leader in the chemical manufacturing industry with an internationally renowned Shared Service Centre (SSC) based in Kuala Lumpur. Due to rapid expansion, they are looking for a Data Engineer to be part of the team that is responsible for running all related functions across the APAC region and globally.

Your new role

• 
  Your responsibilities will include designing, building, and maintaining infrastructure and pipelines for extracting, transforming, and loading (ETL) data from various sources into data storage systems such as data warehouses or data lakes.
  
• 
  You will continuously monitor the pipelines and infrastructure, promptly troubleshooting and resolving any performance issues, errors, or anomalies to ensure seamless operations.
  
• 
  Throughout the product lifecycle, you will provide technical support and expertise to the product team and stakeholders.
  
• 
  You will also play a crucial role in transforming and cleaning raw data, including handling missing values, data normalisation, and aggregation.
  

What you'll need to succeed

• Bachelor's Degree in Computer Science / Computer Engineering / Information Technology or business-technology related discipline
• Min. 3-5 years of professional experience in IT and / or IT Consulting
• Experienced in Java, Scala, Python, SQL
• Experience in Tools like Databricks, Azure Data Factory, Synapse, SQL Server
• Design & Implementation of ETL / ELT data pipelines
• Familiar with Data Warehouse and Data Lake architecture concept

What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV.

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