Full Time Senior Data Engineer Jobs, Salary up to MYR 15,000 in Asgard Resources Federal Territory - Maukerja

About Us

Asgard is a multiple award-winning local recruitment company specialising in connecting top talent with leading companies across the Tech, Banking, Financial Services, Insurance (BFSI), Oil & Gas, and Fast-Moving Consumer Goods (FMCG) sectors.

About the Role

We are looking for a passionate and skilled Data Engineer to build scalable big data platforms that power real-time decision-making, AI-driven automation, and smart industrial systems.

In this role, you will work closely with AI, IoT, and software engineering teams to design high-performance data pipelines, optimize large-scale processing systems, and improve operational efficiency through advanced analytics and cloud technologies.

This is an exciting opportunity to work on impactful technology that improves energy efficiency, enables real-time visibility, and supports intelligent automation in industrial environments.

Key Responsibilities

• Build, maintain, and optimize scalable big data pipelines handling high-volume sensor and operational data
• Design and support real-time data processing systems for live monitoring and analytics
• Develop low-latency streaming architectures using Kafka and Spark Streaming
• Implement cloud-based analytics and data solutions across AWS, Azure, or GCP environments
• Create automated data quality validation and monitoring frameworks
• Collaborate with AI Engineers, IoT Engineers, and Software Developers to support data ingestion and machine learning workflows
• Optimize processing performance, storage utilization, and infrastructure costs
• Monitor, troubleshoot, and improve system reliability, scalability, and efficiency
• Implement metadata management and maintain structured data governance practices
• Support dashboarding and reporting initiatives for operational insights and analytics

Requirements

• 3–6+ years of experience in Data Engineering, Big Data, or Data Infrastructure roles
• Strong hands-on experience with Spark, Python, and SQL
• Experience building ETL pipelines and large-scale distributed data processing systems
• Familiarity with Kafka, Spark Streaming, Delta Lakehouse, Databricks (DLT), and Azure Synapse
• Experience with cloud platforms such as AWS, Azure, or GCP
• Knowledge of data quality validation, schema management, and pipeline monitoring
• Experience with data visualization tools such as Apache Superset, Tableau, or Power BI
• Familiarity with Git version control and collaborative development workflows
• Strong analytical and problem-solving skills
• Ability to work in a fast-paced, cross-functional engineering environment
• Experience improving processing efficiency, system scalability, or infrastructure optimization is highly preferred

Pay: RM8,000.00 - RM15,000.00 per month

Benefits:

• Cell phone reimbursement
• Dental insurance
• Flexible schedule
• Maternity leave

Work Location: In person