Senior Data Engineer

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

Job summary

A technology company in Kuala Lumpur is seeking a Data Engineer with over 5 years of experience in data engineering or data warehousing. The ideal candidate will have strong SQL proficiency, and knowledge of data modeling, and be capable of developing and optimizing data pipelines. This role also offers exposure to machine learning projects and requires strong communication skills. The position emphasizes maintaining data quality and integrity across various environments.

Qualifications

• 5+ years of experience in data engineering or data warehousing needed.
• Strong understanding of data governance and compliance required.
• Exposure to machine learning project implementation is a plus.

Responsibilities

• Develop, optimize, and maintain robust data pipelines.
• Work closely with teams to align data mapping with business rules.
• Maintain data lake and data warehouse solutions.

Skills

Advanced SQL proficiency

Data modeling techniques

Communication skills

Data cleaning and validation

Problem-solving skills

Education

Bachelor’s or Master’s degree in Computer Science

Tools

Power BI

Tableau

Python

Java

Scala

Job description

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- 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.

Key responsibilities:

- 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 the junior 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 the 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

Kuala Lumpur City Centre, Kuala Lumpur, MY