Senior Data Warehouse Engineer — Real-Time Big Data (Flink)

Binance; Bathurst; On-site; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Work-from-home arrangement

Career growth opportunities

Competitive salary

Job summary

Binance in Australia is seeking an experienced Data Engineer to design and build scalable data warehouse solutions that support analytical needs and reduce redundant work. You will own data model design, development, testing, deployment, and real-time monitoring of data jobs.

You will work with Java/Scala/Python, Hive and Spark SQL, and OLAP engines, ensuring high-throughput batch and low-latency streaming pipelines while upholding data governance and quality standards.

Qualifications

• 5+ years of hands-on data engineering or data warehouse experience.
• Expertise in data warehouse modeling and governance (dimensional modeling, data vault, one data principles).
• Proficiency in Java, Scala or Python and Hive & Spark SQL.
• Hands-on with OLAP engines (Kylin, Impala, Presto, Druid) and real-time serving systems.
• Experience with high-throughput batch and low-latency streaming pipelines (Flink, Kafka).
• Familiarity with Hadoop, Hive, Spark, Flink, Delta Lake, Hudi, Presto, HBase, Kafka, Zookeeper, Airflow, Elasticsearch, Redis.
• Bilingual English/Mandarin.

Responsibilities

• Design and build scalable data warehouse systems aligning with standards and business needs.
• Oversee data model development, testing, deployment, and real-time monitoring of data jobs.
• Contribute to data governance and metadata management systems.
• Support technical team development through knowledge sharing and continuous learning.

Skills

Analytical skills

System design

Collaborative mindset

Data engineering

Tools

Java

Scala

Python

Hive

Spark SQL

Kylin

Impala

Presto

Druid

Flink

Kafka

Hadoop

Delta Lake

Hudi

HBase

Zookeeper

Airflow

Elasticsearch

Redis

AWS

Job description

Binance in Australia is seeking an experienced Data Engineer to design and build scalable data warehouse solutions that support analytical needs and reduce redundant work. You will own data model design, development, testing, deployment, and real-time monitoring of data jobs.

You will work with Java/Scala/Python, Hive and Spark SQL, and OLAP engines, ensuring high-throughput batch and low-latency streaming pipelines while upholding data governance and quality standards.