Data Platform Engineer for ETL, Big Data & Analytics

re-zoo-me; Singapore; Hybrid; SGD 90,000 - 130,000; Full time

Job summary

re-zoo-me is seeking a data engineer to own the operation and maintenance of data warehouses supporting mobile device and app data. You will model business processes, design scalable big data architectures, and develop ETL/ELT pipelines to ensure timely, accurate data loading.

You will write SQL and Python/Shell scripts, monitor pipelines, and collaborate with data scientists and product teams to meet evolving data needs. Documentation of models and dictionaries will be essential.

Qualifications

• Bachelor's degree in computer science, software engineering or related field.
• Basic understanding of big data technology architecture (Hadoop, Spark, Flink, Doris, Iceberg).
• Proficient in at least one programming language (Python, Java, etc.) with good knowledge of data structures and algorithms.

Responsibilities

• Operate and maintain data warehouses (mobile device data warehouse, app data warehouse) ensuring data availability and reliability.
• Abstract and model Xiaomi-like business processes and implement a big data processing architecture suitable for complex scenarios.
• Develop and maintain ETL/ELT pipelines to ingest, transform, and load data into the data warehouse.
• Monitor data pipeline health, troubleshoot data quality issues, and implement alerting for anomalies.
• Write structured SQL and scripts (Python/Shell) to support data processing and reporting for business teams.
• Collaborate with data scientists, analysts and product managers to translate data requirements into scalable solutions.
• Document data models, pipeline logic and data dictionaries to maintain a knowledge base.

Skills

Python

Java

SQL

ETL/ELT pipelines

Data warehousing

Big data

Education

Bachelor's degree in computer science or related fields

Tools

Hadoop

Spark

Flink

Doris

Iceberg

Job description

re-zoo-me is seeking a data engineer to own the operation and maintenance of data warehouses supporting mobile device and app data. You will model business processes, design scalable big data architectures, and develop ETL/ELT pipelines to ensure timely, accurate data loading.

You will write SQL and Python/Shell scripts, monitor pipelines, and collaborate with data scientists and product teams to meet evolving data needs. Documentation of models and dictionaries will be essential.