Sr. Fabric Data Engineer

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

Senior Fabric Data Engineer

Job Description

We are looking for a highly skilled Senior Fabric Data Engineer to join our Data & Analytics team and help lead the design and development of modern data platforms. This role focuses on building scalable, high-performance data solutions using tools such as Microsoft Fabric, Azure Data Factory and PySpark. The ideal candidate will be passionate about data warehousing, data engineering, data architecture, automation, and DevOps practices, and will work closely with Business analysts, engineering team, Data Scientists to enable robust, real-time, and secure data operations.

Responsibilities

• Expert in data engineering, ETL/ELT, and modern data platforms such as (MS Fabric, Synapse, Databricks, etc.)
• Design, build, and optimize scalable data pipelines using Azure Data Factory, Databricks, and Microsoft Fabric.
• Develop ETL/ELT workflows using PySpark, SQL, and data orchestration frameworks.
• Architect and implement data Lakehouse and data warehouse solutions on Microsoft Fabric.
• The role requires a strong understanding of Data Warehousing, Data Modeling, data engineering principles, cloud computing, and the Microsoft Fabric platform
• Strong in SQL development, including writing complex queries and stored procedures
• Collaborate with data scientists and analysts to ensure efficient data delivery and model readiness.
• Leverage CI/CD practices and infrastructure-as-code (IaC) to deploy and maintain data pipelines in production.Monitor and troubleshoot data pipelines, ensuring performance, reliability, and data quality.
• Enforce data governance, security, and compliance best practices across platforms.
• Mentor junior engineers and contribute to architectural decisions, coding standards, and engineering best practices.

Qualifications

• Bachelor’s or master’s degree in computer science, Information Systems, Engineering, or a related field.
• 7+ years of experience in data engineering with strong knowledge of cloud data platforms.
• Proficiency in PySpark, Azure Data Factory, Databricks and SQL.
• Experience working with Microsoft Fabric or similar unified analytics platforms.
• Solid understanding of data lakehouse and data warehouse architectures.
• Solid understanding of Data modeling concepts.
• Familiarity with CI/CD pipelines, version control (e.g., Git), and deployment automation tools (e.g., Azure DevOps, GitHub Actions).
• Strong problem-solving skills and ability to work across technical and business teams.

Preferred

• Experience with Delta Lake, Synapse Analytics, and other Azure analytics services.
• Knowledge of infrastructure-as-code tools (e.g., Terraform, ARM templates).
• Microsoft certifications in Azure Data Engineering or Fabric.
• Background in implementing data observability and lineage tools (e.g., Unity Catalog, Purview).

Job Details

Job Type: Regular
Shift: Shift 1 (Malaysia)
Primary Location: Penang, Penang, Malaysia

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.