Hiring: Data Engineer for Leading Client in Malaysia, KL

Hiring: Data Engineer for Leading Client in Malaysia, KL

Location                         : Kuala Lumpur (On-site/Hybrid)
Experience Required: 3+ Years

Nationality                     : Malaysians

About the Role

We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and analytics infrastructure. This role is ideal for someone with strong expertise in ETL development, Azure Databricks, and Power BI, who is passionate about enabling data-driven decision-making.

You will collaborate closely with data analysts, data scientists, and business stakeholders to ensure data is clean, reliable, and accessible across the organization.

Key Responsibilities

• Design, develop, and maintain ETL pipelines for data ingestion, transformation, and loading from multiple data sources
• Build and optimize data workflows using Azure Databricks (PySpark, SparkSQL)
• Develop and maintain data models for analytics and reporting in Power BI
• Implement data quality, validation, and monitoring frameworks
• Translate business requirements into scalable and efficient data solutions
• Support data warehousing and data lake architectures within the Azure ecosystem
• Maintain metadata, data lineage, and documentation
• Optimize pipeline and query performance for scalability and cost efficiency
• Ensure data security, governance, and compliance standards are met

Technology Stack

• ETL Tools: Azure Data Factory, SSIS, Python-based pipelines
• Data Processing: Azure Databricks (PySpark, SparkSQL, Delta Lake)
• Databases: SQL Server, Snowflake, Azure Synapse
• Visualization: Power BI (DAX, data modeling, dashboards)
• Cloud: Microsoft Azure (Data Lake Storage, Synapse, Key Vault, Logic Apps)

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field
• 3+ years of experience in Data Engineering or similar role
• Strong hands-on experience with:
• ETL tools/frameworks
• Azure Databricks (PySpark, SparkSQL, Delta Lake)
• SQL and relational database design
• Power BI (data modeling, DAX, reporting)
• Solid understanding of data modeling, governance, and performance tuning
• Strong analytical, problem-solving, and communication skills

Why Join Us?

• Work on modern cloud-based data platforms
• Exposure to cutting-edge technologies like Databricks & AI-driven data solutions
• Opportunity to collaborate with cross-functional teams on impactful projects
• Strong focus on innovation, scalability, and data-driven decision-making
• Salary above market standard