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Senior Data Warehouse Engineer, AI Data Services

Binance

Singapore

Hybrid

SGD 90,000 - 120,000

Full time

6 days ago
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Job summary

A leading blockchain company in Singapore is seeking a Senior Data Warehouse Engineer to design scalable data warehouse solutions. You will build ETL pipelines and work with big data technologies. Candidates should have over 5 years of experience and proficiency in Java, Scala, or Python. The position offers a hybrid work environment, competitive pay, and mentoring opportunities.

Benefits

Competitive pay
Hybrid work flexibility
Continuous learning & growth opportunities

Qualifications

  • 5+ years in data warehouse & big data solution development.
  • Proficient in Java, Scala, or Python.
  • Strong skills in Hive & Spark SQL.

Responsibilities

  • Design scalable, high-performance data warehouse solutions.
  • Build ETL pipelines and data models.
  • Optimize data accessibility and quality.

Skills

Data warehouse development
Big data solution development
Java
Scala
Python
Hive SQL
Spark SQL
OLAP engines
Hadoop
Kafka

Tools

Hadoop
Hive
Spark
Kafka
Zookeeper
Airflow
Job description
Senior Data Warehouse Engineer, AI Data Services

Crypto Jobs

Job Description

Singapore (Hybrid work environment)

Full-time

About the Role:

As a Senior Data Warehouse Engineer, you'll be at the core of Binance’s AI Data Services team, tasked with designing scalable, high-performance data warehouse solutions. This includes:

  • Building ETL pipelines, data models, and metadata frameworks.
  • Working with big data technologies at petabyte-scale.
  • Collaborating with cross-functional teams to optimize data accessibility and quality.
  • Architect & implement scalable data warehouses to support analytics and business intelligence.
  • Develop ETL pipelines and resolve complex data processing issues.
  • Design and implement data quality monitoring and metadata management.
  • Mentor junior engineers and share best practices.
Must-Have Experience:
  • 5+ years in data warehouse & big data solution development.
  • Proficient in Java, Scala, or Python, with strong Hive & Spark SQL.
  • Experienced in OLAP engines (Kylin, Impala, Presto, Druid).
  • Skilled in big data tools: Hadoop, Hive, Spark, Kafka, Zookeeper, Airflow, etc.
  • Able to design large-scale batch pipelines and troubleshoot performance bottlenecks.
Bonus Points For:
  • Experience on AWS Big Data services.
  • Managing petabyte-scale systems in production environments.
  • Strong system design and stakeholder communication skills.
  • Help shape the future of finance with the world's leading blockchain company.
  • Work alongside top global talent in a flat, fast-paced organization.
  • Autonomy and ownership in innovative, high-impact projects.
  • Continuous learning & growth opportunities.
  • Competitive pay and hybrid work flexibility.
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