Global FinTech Data Engineer: Real-Time Analytics

Ant International; Kampung Malaysia Tambahan; On-site; MYR 120,000 - 180,000; Full time

Job summary

Ant International is seeking a data engineering professional for its Malaysia Tech Center in Kuala Lumpur. You will design data models, develop ETL pipelines, and build real-time data warehousing solutions to support analytics and BI across global products.

The role requires strong experience in data engineering and distributed engines (Hive, Spark, Flink) and excellent English communication. Join a fast-growing fintech environment with a global footprint and On-site collaboration in Malaysia.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related field.
• Proven expertise in data engineering, ETL design, and data warehousing.
• Experience with distributed engines like Hive, Spark, or Flink.
• Strong written and verbal English communication.
• Knowledge of data governance and compliance is a plus.

Responsibilities

• Design and implement data models to support analytics and reporting.
• Develop, maintain, and optimize ETL pipelines ensuring data accuracy.
• Build real-time data warehousing solutions for BI needs.
• Collaborate with tech teams to gather data requirements.
• Ensure data security and regulatory compliance.
• Monitor data pipelines for reliability and performance.
• Stay updated with industry trends in data engineering.

Skills

Data engineering

ETL pipelines

Data warehousing

Real-time analytics

Big data architecture

English communication

Education

Bachelor's degree in Computer Science, Data Science, Software Engineering, or related field

Tools

Hive

Spark

Flink

Job description

Ant International is seeking a data engineering professional for its Malaysia Tech Center in Kuala Lumpur. You will design data models, develop ETL pipelines, and build real-time data warehousing solutions to support analytics and BI across global products.

The role requires strong experience in data engineering and distributed engines (Hive, Spark, Flink) and excellent English communication. Join a fast-growing fintech environment with a global footprint and On-site collaboration in Malaysia.