Data Warehouse Engineer — Real-Time, Personalization & Growth

Unchain Data; Kuala Lumpur; On-site; MYR 120,000 - 180,000; Full time

Benefits offered by this job

Study Growth Fund

Internal Events

Global Collaboration

Career Advancement

Internal Mobility

Job summary

Bybit is seeking a data warehouse engineer to build and optimize group-level data assets, including real-time and offline warehousing, tagging, and feature libraries. The role emphasizes collaboration with algorithm teams to deliver scalable data solutions.

Requirements include a Bachelor's degree in a related field, 2+ years in data warehousing, strong SQL optimization, and proficiency in Python/Scala/Java with big data ecosystem familiarity.

Qualifications

• Bachelor's degree or above in Computer Science, Mathematics, Statistics, or related fields.
• At least 2 years of experience in data warehouse development with SQL optimization.
• Deep understanding of Data Warehouse and BI systems including ETL, OLAP, and multidimensional modeling.
• Proficiency in Python, Scala or Java and strong engineering capabilities.
• Experience with big data ecosystems such as Hadoop, Hive, Spark, Flink, Kafka, Trino, Doris or TiDB.

Responsibilities

• Warehouse Construction & Optimization: build and optimize the group-level data warehouse (offline and real-time).
• Tag System Development: construct real-time and offline tagging to support business activities and outreach.
• Feature Engineering: design libraries for user and product features and collaborate on personalized recommendations.
• Modeling & Architecture: model data warehouses and design reusable, scalable data assets.
• Data Governance: implement data cleaning, quality monitoring, and alerting for reliable data delivery.

Skills

SQL

Python

Scala

Java

Data Warehouse

ETL

OLAP

Education

Bachelor's degree or above in Computer Science, Mathematics, Statistics, or related fields

Tools

SparkSQL

Hadoop

Hive

Kafka

Flink

Trino

Doris

TiDB

Job description

Bybit is seeking a data warehouse engineer to build and optimize group-level data assets, including real-time and offline warehousing, tagging, and feature libraries. The role emphasizes collaboration with algorithm teams to deliver scalable data solutions.

Requirements include a Bachelor's degree in a related field, 2+ years in data warehousing, strong SQL optimization, and proficiency in Python/Scala/Java with big data ecosystem familiarity.