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Data Engineer

WOO operates centralized exchange WOO X and decentralized platform WOOFi, providing top-tier liquidity and trading execution.
Data
Mid-Level Software Engineer
101 - 500 Employees
4+ years of experience
Finance · Blockchain
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Description For Data Engineer

WOO is seeking a Data Engineer to join their mission of providing the best liquidity on the best terms. As part of the Data team, you'll play a crucial role in creating best-in-class analytical capabilities to empower data-driven decision-making at WOO.

Your responsibilities will include:

  • Collaborating with analysis and development teams on data modeling activities
  • Working with cross-functional teams to develop and construct data application projects
  • Contributing to the data-driven operations of business departments

The ideal candidate will have:

  • Minimum 4 years of experience in data warehousing, including dimension modeling and ETL
  • In-depth knowledge of data warehouse concepts and skills
  • Solid foundation in data modeling and architecture
  • Familiarity with big data technologies (Hadoop, Hive, HBase, Spark, Kafka, Flink, Presto, ClickHouse)
  • Expertise in SQL and SQL performance tuning
  • Proficiency in at least one of: Java, Python, Shell, or Scala
  • Exceptional communication skills and fluent English

WOO offers:

  • Opportunity to advance decentralization and lead innovation in CeFi and DeFi
  • Work flexibility and a supportive team environment
  • Performance-based annual bonus
  • Chance to be part of a global team of 170 employees across 12 cities

Join WOO in their vision to inspire confidence, higher performance, and joy in every user while democratizing access to top-tier liquidity and exceptional trading execution.

Last updated 8 months ago

Responsibilities For Data Engineer

  • Collaborate with analysis and development teams on data modeling activities
  • Work closely with cross-functional teams to develop and construct data application projects
  • Contribute to the data-driven operations of business departments

Requirements For Data Engineer

Java
Python
  • Minimum 4 years of experience in data warehousing
  • Expertise in dimension modeling design methods
  • Experience in processing massive datasets (ETL)
  • In-depth understanding of data warehouse knowledge and skills
  • Solid foundation in data modeling and data architecture
  • Familiarity with big data technologies (Hadoop, Hive, HBase, Spark, Kafka, Flink, Presto, ClickHouse)
  • Expertise in SQL and SQL performance tuning
  • Proficiency in Hive SQL development
  • Proficiency in at least one of: Java, Python, Shell, or Scala
  • Exceptional communication skills
  • Fluent English

Benefits For Data Engineer

  • Performance-based annual bonus
  • Work flexibility
  • Supportive team environment

Interested in this job?