Senior Data Engineer: Spark, Data Marts & Feature Platforms

Monee SG Private Limited; Singapore; Sur place; SGD 110 000 - 170 000; Plein temps

Résumé du poste

Monee is a leading digital payments and financial services provider in Southeast Asia, seeking a data engineer to build and optimize batch and real-time feature pipelines and data marts. You will work on data quality, modeling, and ETL to support data requirements across regulatory and business teams.

Join a fast-growing environment where you will tackle high-throughput data challenges, collaborate with policy, risk, and product teams, and contribute to scalable analytics platforms for Southeast

Qualifications

• 3+ years of full-time data engineering or big data development experience.
• Strong SQL and Python/Scala/Java skills.
• Hands-on Spark/Flink for batch or streaming processing.
• Solid understanding of data warehousing, dimensional modeling, and Data Mart development.
• Familiarity with Kafka, Hive, and Airflow.
• Experience with Feature Engineering, Feature Stores, or data/feature platforms.

Responsabilités

• Develop, optimize, and maintain batch and real-time feature pipelines using Spark/Flink.
• Design, build, and maintain business Data Marts, including data modeling, ETL development, and performance optimization.
• Ensure data quality, accuracy, and pipeline reliability, continuously improving data processing efficiency.
• Collaborate with DS, policy, risk and business teams to support feature engineering and data requirements.

Connaissances

SQL

Python

Scala

Java

Spark

Flink

Data Warehousing

Airflow

Kafka

Data Modeling

Outils

Kafka

Hive

Airflow

Description du poste

Monee is a leading digital payments and financial services provider in Southeast Asia, seeking a data engineer to build and optimize batch and real-time feature pipelines and data marts. You will work on data quality, modeling, and ETL to support data requirements across regulatory and business teams.

Join a fast-growing environment where you will tackle high-throughput data challenges, collaborate with policy, risk, and product teams, and contribute to scalable analytics platforms for Southeast