Senior Data Engineer

Tranglo WP, Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Key responsibilities include :

• 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.
• 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 junior staff 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 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 :

Up to RM11,000 only

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Analyst, Information Technology, and Product Management

Industries

Financial Services, Technology, Information and Media, and Banking

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