Data Engineer

LBS Bina Group Berhad; Petaling Jaya; On-site; MYR 90,000 - 140,000; Full time

Job summary

LBS Bina Group Berhad is seeking a Data Engineer to design and maintain ETL processes and data warehousing solutions that drive business insights. You will work with stakeholders to deliver dashboards and analytics, ensuring data quality and reliable reporting.

The role requires a Bachelor’s degree in a related field and at least 2 years of hands-on experience in data engineering, ETL, and analytics, with a focus on scalable data pipelines.

Qualifications

• Bachelor’s degree in a relevant field as specified.
• 2+ years hands-on experience in data engineering, reporting, or analytics including ETL and data warehousing.

Responsibilities

• Develop and optimize complex ETL processes and manage large datasets to support business analytics.
• Ensure high data quality through validation, cleansing, and testing practices.
• Enhance scalability, performance, and reliability of reporting pipelines and enterprise data warehouse architecture.
• Collaborate with business stakeholders to gather data requirements and deliver reporting, dashboarding, and analytics solutions.
• Support ad hoc data requests and exploratory analysis to enable data-driven decision-making across teams.

Skills

ETL

Data analytics

Data warehouse

Reporting pipelines

Education

Bachelor’s Degree in Data Science, Computer Science, Information Technology or equivalent

Job description

• 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.

Job 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.