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Job Summary


Job Type
Permanent

Seniority
Mid
Junior

Years of Experience
At least 2 years

Tech Stacks
Spring
Spark Streaming
ZooKeeper
HBase
Presto
Hive
Spark
Flink
Airflow
kafka
Elasticsearch
Redis
Hadoop
Java

Job Description


Apply
Are you looking to be a part of the most influential company in the blockchain industry and contribute to the crypto-currency revolution that is changing the world?

Responsibilities

  • Develop and maintain data engineering systems across the data lifecycle, including data pipelines for batch and streaming applications, data storage layer and data processing engines (OLAP/OLTP)
  • Develop APIs to support high throughput data processing, feature engineering, risk algorithms and data science use cases
  • Develop data quality monitoring and alert systems to ensure high availability and high quality data sources
  • Design and upgrade of data architecture to support new data applications, technical enhancements and business requirements
Requirements

  • 2+ years experiences of developing big data related applications
  • Proficient in Java language, familiar with Spring framework, and micro-service architecture
  • Proficient in big data pipeline development including batch and streaming processing
  • Familiar with big data components like Hadoop, Hive, Spark, Spark streaming, Flink, Presto, Hbase, Kafka, Zookeeper, Airflow, Elasticsearch, Redis
  • Experience in big data product development is a plus, including data warehouse, query platform, streaming, recommendation, user profiling, risk management, etc.
  • Team working, analytical mind, be optimistic, willing to accept challenges and quick response against incidents
Conditions
  • Do something meaningful; Be a part of the future of finance technology and the no.1 company in the industry
  • Fast moving, challenging and unique business problems
  • International work environment and flat organisation
  • Great career development opportunities in a growing company
  • Possibility for relocation and international transfers mid-career
  • Competitive salary
  • Flexible working hours, Casual work attire

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