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Quants of Blockchain

Data Engineer

$80k – $150k • No equity
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In general, we need hard working and smart people. Working hours can be 80+ hours per week sometime. Don't just go employed, go to be part of the most technologically advanced hedge fund in digital asset management, don’t go gentle into that good night. Some people tried and they failed, but we love our culture here. We seek same people like us.

What we have: PB+ data, 1k+ models, k+ threads at your command, some of the smartest people in the industry, now we cover 2%+ of all trading volume of real exchanges(spot/future/options/etc.), and this is an industry that grows 5x per year.

What we need: more models, more clean data, more management skills

Followed is the longer version.

We are looking for Data Engineer to help build real time market information systems and machine learning platforms used in the management of Trade Terminal’s digital asset portfolio.

As a Data Engineer, you will use your skills to:
- Build reliable and scalable data platforms to support complex data ETL operations and machine learning applications
- Create RESTful micro-service and APIs
- Implement new features in a highly collaborative environment with data scientists, trading strategists, and software engineers
- Contribute to a modern, high quality, and high performance code base
- Share your technical solutions and product ideas with the broader team through design review, code review
- Be highly flexible and adaptable and demonstrate passion for algorithmic trading, cutting edge technologies, and a fast moving startup environment.

As a Data Engineer, you will need:
- SMART and DILIGENT
- Experience with C/C++, Java, Go, Python and/or other backend languages
- Experience with distributed computing frameworks (e.g.:Hadoop, Spark, Kafka, Samza, Storm, Heron, Flink, Stream, Hive etc…)
- Experience with distributed data storage technologies (e.g.: HDFS, S3, Cassandra, Redis etc...)
- Experience with SQL RDBMS (e.g.: MySQL, PostgreSQL, Redshift etc…)
- Experience building large scale real-time analytics services and real-time predictive analytics services
- Experience with the performance optimization techniques for data applications on a distributed system
- Enough DevOps experience to setup, configure and maintain your own dev/build distributed systems.
- Experience with Cloud Platforms (e.g.: AWS, Azure, Google Cloud etc…)
- Excellent team working skills and communication skills
- Enjoy working with a lean team in a fast paced environment


info@tradeterminal.io

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