Data Engineer jobs in Malaysia

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- Drive the implementation and optimization of centralized data repositories and data lake architectures, supporting enterprise-wide analytics and reporting.

- Identify, diagnose, and resolve data-related issues, ensuring data quality, integrity, and availability for downstream analytics and business applications.

- Apply advanced data modeling techniques to solve real-world business challenges, ensuring data consistency, integrity, and performance.

- Provide advanced support and troubleshooting for data pipelines, ETL/ELT processes, and data integration workflows across cloud and on-prem environments.

- Enhance and mentor others in organizational, communication, and analytical skills, fostering a collaborative and data-driven engineering culture.

- Gain exposure to the end-to-end machine learning lifecycle, from experimentation to production, by enabling robust and scalable data access for model training and inference.

Key responsibilities:

- Develop, optimize, and maintain robust data pipelines(ETL/ELT) across both on-premise and cloud environments

- Work closely with business and technical teams to ensure that data mapping aligns with business rules and reporting needs

- Maintain data lake and data warehouse solutions

- Develop detailed reports and documentation of incidents and resolutions to contribute towards continuous improvement processes within the team

- Provide technical guidance to the junior and implement best practices and standards of code

- Create and maintain data mapping documents to define the relationships between source data and target schemas.

- Develop and support the ingestion of data from multiple sources into a centralized data repository or data lake.

- Perform basic data cleaning, transformation, and validation to ensure data quality and integrity.

Requirements:

- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.

- 5+ years of experience in data engineering, data warehousing, or big data environments

- Strong understanding of data structures, performance tuning, and optimization.

- Strong proficiency in SQL and one or more programming languages (Python, Java, or Scala).

- Ability to troubleshoot and improve complex data workflows.

- Experience designing systems for scalability, reliability, and maintainability.

- Strong communication and documentation skills.

- Solid understanding of data governance, security, and compliance principles.

- Exposure to BI tools such as Power BI, Tableau, or Looker for data consumption and visualization.

- Exposure to Machine Learning projects implementation

Nice to have: Experience with streaming platforms

Kuala Lumpur City Centre, Kuala Lumpur, MY