Data Engineer

Kuala Lumpur, M14, MY, Malaysia

Job Description

About the Role



We are looking for a skilled

Data Engineer

to design and build scalable data infrastructure supporting

AI-driven automation and analytics systems

. You will develop reliable pipelines, manage large datasets, and ensure high data quality for real-time decision-making across industrial applications.

Key Responsibilities



Build and maintain

data pipelines

for real-time and batch processing. Design, implement, and optimize

data lakes and warehouses

. Integrate

Kafka, Spark Streaming

, and other event-driven architectures. Ensure data accuracy, quality, and performance optimization. Collaborate with software, AI, and IoT teams to support analytics workflows. Automate data validation and monitoring processes. Support visualization and reporting via

Power BI, Tableau

, or similar tools. Continuously improve data systems for cost, reliability, and scalability.

Requirements



Bachelor's Degree in Computer Science, Engineering, or related field.

3-6 years' experience

in data engineering or data infrastructure. Proficient in

Python, SQL, and Spark

for ETL and analytics pipelines. Experience with

Spark Streaming, Kafka, Delta Lake, Databricks, or Azure Synapse

. Familiar with

cloud platforms

(AWS, GCP, or Azure). Strong analytical mindset and attention to detail. Excellent teamwork and communication skills.

Why Join Us?



Work on large-scale

AI and IoT data projects

driving real-world efficiency. Exposure to

industrial automation and smart system innovation

. Fast-paced and collaborative environment. Competitive salary and clear growth pathways.
Job Type: Full-time

Pay: Up to RM17,000.00 per month

Work Location: In person

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Job Detail

  • Job Id
    JD1272101
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Kuala Lumpur, M14, MY, Malaysia
  • Education
    Not mentioned