Sr. Project Manager

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

We are seeking a highly skilled Data Engineer with a strong background in Python to join our dynamic team. The ideal candidate will have 10-15 years of experience in data engineering, with a proven track record of designing, building, and maintaining scalable data pipelines and architectures. You will play a crucial role in transforming raw data into actionable insights, enabling data driven decision making across the organization.

Key responsibilities

Design, develop, and maintain robust data pipelines and ETL processes to support data ingestion and transformation.

Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high quality data solutions.

Implement data models and architectures that support analytics and reporting needs.

Optimize data storage and retrieval processes to ensure efficient data access and performance.

Monitor and troubleshoot data pipeline performance, ensuring data quality and reliability.

Document data engineering processes, architectures, and best practices for future reference.

Stay updated with the latest industry trends and technologies in data engineering and analytics.

About you

Strong proficiency in Python, with extensive experience in data manipulation and analysis.

Solid understanding of data warehousing concepts and data modeling techniques.

Experience with ETL tools and frameworks (e.g., Apache Airflow, Talend, or similar).

Proficient in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, or similar).

Familiarity with big data technologies (e.g., Hadoop, Spark, or similar) is a plus.

Experience with cloud platforms (e.g., AWS, Azure, or Google Cloud) and their data services.

Knowledge of data visualization tools (e.g., Tableau, Power BI, or similar).

Experience with machine learning frameworks and libraries.

Familiarity with containerization technologies (e.g., Docker, Kubernetes).

Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or a related field.