Senior Data Engineer: Python Pipelines & Analytics Leader

LAVU TECH SOLUTIONS SDN. BHD.; Petaling Jaya; On-site; MYR 150,000 - 230,000; Full time

Job summary

LAVU TECH SOLUTIONS SDN. BHD. is seeking a highly skilled Data Engineer in Malaysia with a strong Python background to design and maintain scalable data pipelines.

The role requires 10–15 years of data engineering experience, expertise in data warehousing, ETL, SQL, and modern cloud platforms. You’ll collaborate with data scientists and analysts to transform raw data into actionable insights and drive data-driven decisions.

Qualifications

• Bachelor's or Master's in CS/IT/Data Science or a related field.
• Strong Python programming and data manipulation skills.
• Solid understanding of data warehousing and data modeling.
• Experience with ETL tools like Apache Airflow or Talend.
• Proficient SQL and relational databases (PostgreSQL, MySQL).
• Familiarity with Hadoop or Spark and cloud platforms (AWS/Azure/Google Cloud).

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL processes.
• Collaborate with data scientists and analysts to define data requirements.
• Develop data models and architectures to support analytics and reporting.
• Optimize data storage, access, and performance.
• Monitor data pipeline health and ensure data quality.
• Document data engineering processes and best practices.
• Stay updated with evolving data engineering technologies.

Skills

Python

Data manipulation

Data modeling

SQL

Big data concepts

Education

Bachelor's or Master's in CS/IT/Data Science

Tools

Apache Airflow

Talend

PostgreSQL

MySQL

Hadoop

Spark

AWS

Azure

Google Cloud

Tableau

Power BI

Docker

Kubernetes

Job description

LAVU TECH SOLUTIONS SDN. BHD. is seeking a highly skilled Data Engineer in Malaysia with a strong Python background to design and maintain scalable data pipelines.

The role requires 10–15 years of data engineering experience, expertise in data warehousing, ETL, SQL, and modern cloud platforms. You’ll collaborate with data scientists and analysts to transform raw data into actionable insights and drive data-driven decisions.