SENIOR DATA ENGINEER

Tranglo Sdn Bhd; Kuala Lumpur; On-site; MYR 100,000 - 150,000; Full time

Job summary

A global digital commerce hub is seeking a Data Engineer to implement and optimize data repositories, ensuring quality and integrity for analytics. The ideal candidate has over 5 years of experience in data engineering, proficiency in SQL, and knowledge of programming languages like Python or Java. This role offers opportunities to mentor, troubleshoot, and enhance data workflows, contributing to a data-driven engineering culture.

Qualifications

• 5+ years of experience in data engineering or big data environments.
• Strong understanding of data structures and performance tuning.
• Ability to troubleshoot and improve complex data workflows.

Responsibilities

• Drive implementation and optimization of data repositories.
• Identify and resolve data-related issues.
• Develop and optimize data pipelines across environments.

Skills

Data Engineering

SQL

Python

Data Warehousing

Data Governance

Communication

Education

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field

Tools

Power BI

Tableau

Looker

Job description

Key Responsibilities

• Drive 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 team members and implement best practices and standards of coding.
• 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

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
• 5+ years of experience in data engineering, data warehousing, or big data environments.
• Strong understanding of data structures, performance tuning, and optimization.
• Strong proficiency in SQL and one or more programming languages (Python, Java, or Scala).
• Ability to troubleshoot and improve complex data workflows.
• Experience designing systems for scalability, reliability, and maintainability.
• Strong communication and documentation skills.
• Solid understanding of data governance, security, and compliance principles.
• Exposure to BI tools such as Power BI, Tableau, or Looker for data consumption and visualization.
• Exposure to Machine Learning projects implementation.
• Nice to have: Experience with streaming platforms.

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Company Overview:

TRANGLO Sdn Bhd operates a digital commerce switching hub for financial institutions and telecom providers globally, and strives to produce a fast, easy-to-use and secure platform to better connect loved ones and friends worldwide. Founded in 2008, the company has connectivity to over 250 mobile network operators, 30,000 retail outlets and 400 banks through its products namely Prepaid Reload, Money Transfer, and Digital Gifts. Tranglo was also nominated by Fintech News Singapore as one of the Top 10 Fintech Players. The vision of the company is to become “Global Leader in providing accessible and equitable mobile telecom and financial services to the general mass”. Check out www.tranglo.com.