Data Engineer
Indexed description
- Superb remuneration package.
- Work with cutting-edge data technologies at scale.
Job Description
- Design and develop scalable data models for manufacturing and operational data.
- Build and maintain ETL/ELT pipelines using PySpark and SQL.
- Develop analytics-ready datasets and business-focused data products.
- Implement data quality controls and governance measures to ensure data reliability.
- Collaborate with engineering, manufacturing, and analytics stakeholders to gather requirements and deliver solutions.
- Document data architecture, transformation logic, and business rules.
- Optimize database and query performance across large-scale datasets.
- Support the implementation of modern data platform and lakehouse technologies.
- Bachelor's Degree in Computer Science, Data Science, or a related discipline.
- Minimum 2 years of experience in Data Engineering, Data Analytics, or a related field.
- Strong hands-on experience with SQL, Python, and PySpark.
- Experience working with large-scale data platforms, data warehouses, and lakehouse technologies.
- Solid understanding of ETL/ELT development and data pipeline best practices.
- Familiarity with workflow orchestration tools such as Airflow.
- Experience with cloud data platforms, data modeling, and performance optimization would be advantageous.
- Exposure to manufacturing, industrial, or semiconductor environments would be a plus.
- Competitive monthly salary ranging from MYR 7000 to MYR 10000.
- RSU (Restricted Stock Units) as part of the benefits package.
- 13 months bonus for additional financial rewards.
- Performance bonus based on individual and company achievements.
- Opportunity to work on large-scale, enterprise-level data engineering projects.
- Strong career development opportunities within a global technology-driven organization.
Contact
Quote job ref: JN-082026-7077741
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