Senior Data Engineer: Scale Data Lakes & Pipelines

Tranglo; Kuala Lumpur; On-site; MYR 180,000 - 280,000; Full time

Job summary

Tranglo is seeking a Senior Data Engineer to drive centralized data repositories, data lake architectures, and enterprise analytics. You will resolve data quality issues and apply advanced data modeling to ensure performance and integrity across cloud and on-premise environments.

You will also mentor teammates, support ML data lifecycle, and ensure robust data access for model training and inference, while collaborating with cross-functional teams.

Qualifications

• Bachelor’s or Master’s degree in Computer Science or related field.
• 5+ years of experience in data engineering or big data environments.
• Strong SQL skills and one or more programming languages (Python/Java/Scala).
• Experience with data governance, security and compliance.

Responsibilities

• Develop, optimize, and maintain data pipelines across on-premise and cloud environments.
• Maintain data lake and data warehouse solutions.
• Collaborate with business and technical teams to align data mapping with reporting needs.
• Create detailed documentation of incidents and resolutions for continuous improvement.
• Provide technical guidance to junior staff and implement code best practices.
• Support ingestion of data from multiple sources into centralized data repositories.
• Perform basic data cleaning, transformation, and validation to ensure data quality.

Skills

SQL

Programming languages (Python/Java/SC)

Education

Bachelor’s or Master’s degree in CS/Data Engineering/IS

Tools

Power BI

Tableau

Looker

Job description

Tranglo is seeking a Senior Data Engineer to drive centralized data repositories, data lake architectures, and enterprise analytics. You will resolve data quality issues and apply advanced data modeling to ensure performance and integrity across cloud and on-premise environments.

You will also mentor teammates, support ML data lifecycle, and ensure robust data access for model training and inference, while collaborating with cross-functional teams.