Petaling Jaya
On-site
MYR 70,000 - 90,000
Full time
Job summary
A leading construction firm in Malaysia is looking for a Data Engineer to develop and optimize ETL processes for business analytics. The ideal candidate will have a Bachelor's degree in a relevant field and at least 2 years of experience in data engineering, reporting, or analytics. You will work closely with business stakeholders to enhance data quality and performance of reporting solutions.
Qualifications
- Minimum of 2 years of hands-on experience in data engineering, reporting, or analytics.
- Experience with ETL and data warehousing is necessary.
Responsibilities
- Develop and optimize complex ETL processes and manage large datasets.
- Ensure high data quality through validation and testing.
- Enhance reporting pipelines and data warehouse architecture.
- Collaborate with business stakeholders for data requirements.
- Support ad hoc data requests for decision-making.
Skills
ETL processes
Data analysis
Data warehousing
Data quality assurance
Education
Bachelor’s Degree in Data Science, Computer Science, Information Technology
Responsibilities
- Develop and optimize complex ETL processes and manage large datasets to support business analytics.
- Ensure high data quality through systematic validation, cleansing, and rigorous testing practices.
- Enhance the scalability, performance, and reliability of reporting pipelines and enterprise data warehouse architecture.
- Collaborate closely with business stakeholders to gather data requirements and deliver impactful reporting, dashboarding, and analytics solutions.
- Support ad hoc data requests and exploratory analysis to enable data-driven decision-making across teams.
Requirements
- Bachelor’s Degree in Data Science, Computer Science, Information Technology or equivalent.
- Minimum of 2 years of hands-on experience in data engineering, reporting, or analytics, including experience with ETL, and data warehousing.