Data Engineer: Real-Time Pipelines & Data Marts

SEA Singapore; Jakarta Pusat; On-site; IDR 360,000,000 - 600,000,000; Full time

Benefits offered by this job

Job summary

Monee is seeking a data engineer to design and optimize both batch and streaming data pipelines using Spark and Flink. You will build and maintain data marts, ensure data quality, and work closely with data science, policy, risk, and business teams to support feature needs.

Ideal candidates have 3+ years in data engineering, strong SQL and Python/Scala/Java skills, and hands-on experience with big data tools like Kafka, Hive, and Airflow.

Qualifications

• 3+ years of experience in data engineering or big data development.
• Strong SQL and Python/Scala/Java skills.
• Hands-on experience with Spark/Flink for batch or streaming.
• Solid understanding of data warehousing and data marts.
• Familiar with Kafka, Hive, and Airflow.
• Preferred: Experience with Feature Engineering or feature platforms.

Responsibilities

• Develop, optimize, and maintain batch and real-time feature pipelines with Spark/Flink.
• Design and maintain business Data Marts, including data modeling and ETL.
• Ensure data quality, accuracy, and pipeline reliability.
• Collaborate with DS, policy, risk and business teams to support data requirements.

Skills

SQL

Python

Scala

Java

Data modeling

Airflow

Team collaboration

Tools

Spark

Flink

Kafka

Hive

Airflow

Job description

Monee is seeking a data engineer to design and optimize both batch and streaming data pipelines using Spark and Flink. You will build and maintain data marts, ensure data quality, and work closely with data science, policy, risk, and business teams to support feature needs.

Ideal candidates have 3+ years in data engineering, strong SQL and Python/Scala/Java skills, and hands-on experience with big data tools like Kafka, Hive, and Airflow.