Senior Fabric Data Engineer — Lakehouse & Cloud Pipelines

Altera; Bayan Lepas; On-site; MYR 120,000 - 160,000; Full time

Job summary

Altera is seeking a highly skilled Senior Fabric Data Engineer to join our Data & Analytics team in Penang, Malaysia. The successful candidate will design and develop modern data platforms, focusing on building scalable, high-performance solutions.

With responsibilities in data engineering, ETL/ELT processes, and cloud solutions, the role requires strong skills in Azure Data Factory, PySpark, and SQL, backed by 7+ years of experience. This position offers the chance to mentor junior engineers and work across technical and business teams, ensuring compliance and data governance.

Qualifications

• 7+ years of experience in data engineering with strong knowledge of cloud data platforms.
• Proficiency in PySpark, Azure Data Factory, Databricks, and SQL.
• Familiarity with CI/CD pipelines, version control, and deployment automation tools.

Responsibilities

• Design, build, and optimize scalable data pipelines using Azure Data Factory and Databricks.
• Develop ETL/ELT workflows using PySpark, SQL, and data orchestration frameworks.
• Enforce data governance, security, and compliance best practices across platforms.

Skills

Data engineering

ETL/ELT

Azure Data Factory

PySpark

SQL

Data warehousing

Cloud computing

Microsoft Fabric

Education

Bachelor’s or master’s degree in computer science or related field

Tools

Azure DevOps

Terraform

Job description

Altera is seeking a highly skilled Senior Fabric Data Engineer to join our Data & Analytics team in Penang, Malaysia. The successful candidate will design and develop modern data platforms, focusing on building scalable, high-performance solutions.

With responsibilities in data engineering, ETL/ELT processes, and cloud solutions, the role requires strong skills in Azure Data Factory, PySpark, and SQL, backed by 7+ years of experience. This position offers the chance to mentor junior engineers and work across technical and business teams, ensuring compliance and data governance.