Cornerstone Infocomm Hiring! Full Time Data Engineer in Federal Territory, Earn up to MYR 8,500 - Ricebowl

Role Overview

We are seeking an experienced Data Engineer to design, develop, and maintain scalable data pipelines and data products that support reporting, analytics, applications, and AI initiatives.

This role will integrate data from SAP and other enterprise systems into modern data platforms, delivering reliable, governed, and reusable data products for business and technology teams.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and reusable data products.
• Integrate and transform data from SAP, databases, APIs, files, and other enterprise sources.
• Develop data solutions using SQL, Python, and Azure Databricks.
• Design and maintain data models and business-ready datasets for reporting, analytics, applications, and AI use cases.
• Ensure data quality, performance, security, and reliability across data solutions.
• Monitor and troubleshoot production pipelines and resolve data-related issues.
• Apply data governance, testing, Git, and CI/CD practices.
• Collaborate with business and technology teams to translate requirements into scalable and maintainable data solutions.

Required Qualifications

• 5+ years of professional experience in data engineering, data integration, business intelligence, or a related data field.
• Strong hands-on experience with SQL, Python, PySpark (SQL, functions, types, window, streaming, pandas), and Delta Lake.
• Experience designing, developing, and supporting production ETL/ELT pipelines and data models.
• Hands-on experience with Azure Databricks for data engineering and data processing.
• Strong understanding of data modeling, data quality, performance optimization, and large-scale data processing.
• Experience with Git, CI/CD, and modern data engineering practices.
• Strong analytical, problem-solving, communication, and collaboration skills.

Preferred Qualifications

• Experience working with SAP ERP data and enterprise data platforms.
• Experience with Microsoft Fabric, particularly for data engineering or analytics workloads.
• Experience with Databricks Unity Catalog, data governance, and data security.
• Knowledge of APIs, Azure Data Lake/Storage, and Power BI.
• Experience developing reusable data products that support multiple business use cases and consumers.
• Relevant Microsoft, Databricks, or Fabric certifications are a plus.

Job Type: Contract
Contract length: 12 months

Pay: RM6,500.00 - RM8,500.00 per month

Experience:

• relevant data engineering: 5 years (Preferred)

Work Location: In person