Job Description

• Data Pipeline Development: Lead the design and construction of advanced data pipelines using cutting-edge technologies like Apache Kafka, Spark, Airflow, and similar.
• Data Integration: Implement and optimize data integration solutions to aggregate data from multiple sources, ensuring scalability and performance.
• Database Management: Design, optimize, and manage complex databases using SQL and NoSQL technologies like PostgreSQL, MongoDB, and DynamoDB.
• Infrastructure Management: Utilize and automate cloud infrastructure (AWS, Google Cloud, or Azure) and deployment tools such as Terraform and Docker.
• Monitoring and Troubleshooting: Develop advanced monitoring systems and implement strategies for data quality and reliability.

Requirements

• 4+ years as a Data Engineer or relevant field.
• Strong knowledge of data pipeline tools and ETL processes.
• Proficiency in SQL and NoSQL database management.
• Expertise in cloud platforms (e.g.,  DataBricks, AWS, Google Cloud, Azure).
• Excellent problem-solving skills and attention to detail.
• Leadership experience and ability to mentor junior team members.

Salary Range

RM 10,000.00 - RM 13,000.00

Address

Suite 13.02, Level 13, Menara IGB, Mid Valley City, Lingkaran Syed Putra, 59200 Kuala Lumpur