At GO.Exchange, our goal is to build a cryptocurrency exchange platform that is used and trusted by people all around the world. We are committed to pushing the standard for what a trusted exchange should be.

We’re working hard to build something great: creating a beautiful and intuitive interface, engineering a rock-solid infrastructure, treating our customers right with a world-class support team, and engaging with our community in novel ways. Join us.

Why we need you

Business Intelligence team is seeking a Data Engineer who will implement strategies directed at acquiring data and promoting the development of new insights across the business with a passion. In this role, you will provide contribution to the continual improvement of the design, deployment, and maintenance of the business’s data platforms to support self-service data analytics.

What you will be doing

• Accomplishing immediate tasks and projects, but not limit to analyze and understand the big picture, how all the current sub-components of the technical architecture related BI infrastructure work together in GO.Exchange to plan for long-range projects

• Handle all aspects of moderately complex problems with process, architecture, design, hands-on implementation, test and maintenance, which covers full-stack BI infrastructure and the related platforms

• Assess the risks, ask the right follow-up questions, determine the right workflow, analyze the possible bottlenecks and deliver a stable solution which is well-documented and tested

• Propose different ways of implementation and analyze positive and negative effects

• Take initiative on ongoing design, development and maintenance of data warehousing systems and data marts, translating business requirements and logical data models into working databases, including relational and dimensional (star-schema) designs

• Design and develop scalable data applications, microservices, ETL, data processing pipelines; conducting test to ensure the quality of data produced, monitoring and tuning codes, data loads, and overall performance

• Use DevOps framework for data engineering; set up and maintain production/staging environments, automate deployment process, monitor the security & health of infrastructure, optimizing resources and costs

You

• 3+ years of experience in Data Engineering with Agile mindset

• Effective communication and diplomatic skills to collaborate cross-functionally

• Superb verbal and written communication skills in English

• Have a knowledge of Data Warehouse methodologies and modeling, especially Star Schema and Snowflake

• Strong hands-on experience in building data solutions (ETL batch and streaming pipelines, micro-services etc)

• Experience with one or more data processing frameworks such as Beam, Dataflow, or Spark (using Scala)

• Familiar with DevOps tools: experience with CI/CD, Google Cloud Platform infrastructure, Docker and Kubernetes

• Basic knowledge of cryptocurrency industry

Nice-to-haves

• Working experience in the crypt currency industry

• Hands on experience with BI tools, preferably Tableau

• Experience in Apache Airflow

• Knowledge of Data Vault 2.0