Data Engineer — Build Scalable Pipelines & Data Warehouses

S P Setia Berhad; Shah Alam; On-site; MYR 120,000 - 180,000; Full time

Benefits offered by this job

Medical

Misc. allowance

Loans

Dental

Gym (Sports)

Parking

Staff discount & long-term incentive

Job summary

S P Setia Berhad is seeking a Data Engineer to join the technology team in Setia Alam, Selangor, on a full-time basis. You will design, build, and maintain scalable data pipelines, databases, and data warehouses to enable data-driven decisions across the organisation.

The role requires hands-on SQL, programming in Python/Java/Scala, and experience with ETL tools, cloud platforms, and Hadoop/Spark. Collaboration with analysts and business stakeholders is essential.

Qualifications

• Bachelor's degree or equivalent in CS/IT/Engineering.
• Hands-on SQL and relational database development/administration.
• Proficiency in Python, Java, or Scala.
• Experience with ETL tools and data pipelines.
• Knowledge of cloud platforms (AWS/Azure/GCP).
• Familiarity with Hadoop/Spark.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Build and optimise databases and data warehouses for BI.
• Collaborate with analysts and stakeholders to translate data needs into solutions.
• Implement data quality assurance and monitoring for data integrity.
• Troubleshoot data-related issues and provide end-user support.
• Document data architecture and processes for knowledge sharing.
• Optimise performance of databases for high-volume processing.
• Stay current with emerging data technologies and best practices.

Skills

SQL & relational DBs

Python/Java/Scala

Education

Bachelors degree in CS/IT/Engineering

Tools

ETL tools

Cloud platforms (AWS/Azure/GCP)

Big data: Hadoop/Spark

Job description

S P Setia Berhad is seeking a Data Engineer to join the technology team in Setia Alam, Selangor, on a full-time basis. You will design, build, and maintain scalable data pipelines, databases, and data warehouses to enable data-driven decisions across the organisation.

The role requires hands-on SQL, programming in Python/Java/Scala, and experience with ETL tools, cloud platforms, and Hadoop/Spark. Collaboration with analysts and business stakeholders is essential.