NOBI helps people easily get more from their crypto asset & simplify their crypto investment experience. Our engineering team run hundreds of blockchain nodes, integrates with numerous DeFi smart contracts and run numerous real time robo trading to simplify the life our customers. 

We’re here so that everyone can be part of the global cryptocurrency movement. Join us.

• Assembling large, complex sets of data that meet non-functional and functional business requirements

• Develop and maintain batch and streaming analytical data pipelines.

• Research the latest data engineering tools and techniques to continuously improve the data process in NOBI

• Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes  

• Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies

• Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition 

• Working with stakeholders including data, design, product and assisting them with data-related technical issues

• Working with stakeholders including  Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues

• Has experience 1-2 year working with SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

• Experience with AWS cloud services: EC2, EMR, RDS, Redshift

• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

• Ability to build and optimize data sets, ‘big data’ data pipelines and architectures 

• Good knowledge in data engineering concepts such as ETL, ELT, dimensional data modeling, etc.

• Excellent analytic skills associated with working on unstructured datasets 

• Ability to build processes that support data transformation, workload management, data structures, dependency and metadata

All your information will be kept confidential according to EEO guidelines.