Blockchain Data Quality Engineer

Company: Jobot
Location: San Francisco, California, United States
Type: Full-time
Posted: 07.APR.2021
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Summary

Blockchain Data Quality Engineer | Remote or Boston This Jobot Job is hosted by: Jacqueline Siegel Are you a fit? Easy Apply now by clickin...

Description

Blockchain Data Quality Engineer | Remote or Boston

This Jobot Job is hosted by: Jacqueline Siegel
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $120,000 - $170,000 per year

A bit about us:

We are a leading provider of cryptoasset data for institutions. We deliver transparent and actionable
data and analytics to various industry stakeholders including asset managers, custodians, trading venues,
research desks, and data/application providers. Our data empowers its clients and the public to
better understand, use and value open crypto networks

Why join us?

You will be surrounded by talented people passionate about decentralized economies and the data behind
them. Break new ground, create exciting new data-driven research and products, and help shape the future of
finance

Job Details

Key responsibilities include:
Automating the validation of the following types of data:
Data gathered by our data collection efforts (raw data from full nodes and exchanges);
Metrics/indexes/data produced by our data production projects (metrics calculated and
aggregated from the raw data);
Data delivered via our API;
Data delivered via our visualization tools.
Setting up and tuning alerts and/or reports to automatically detect any data anomalies

Qualifications:
2+ years of experience in a data science or back-end engineering role.
Solid understanding of how blockchains operate and their underlying data structures.
Proficiency in a major programming language such as Kotlin/Java/Python (Kotlin preferred or
willingness to learn Kotlin if not already proficient).
Proficiency in SQL (preferably PostgreSQL)

Preferred Qualifications:
Experience creating novel cryptoasset metrics (preferably using Coin Metrics data).
Experience building, maintaining, and testing data pipelines and warehousing in an enterprise role.
Formal training in statistics, mathematics, or other data sciences.
Experience with Docker, GitLab CI, Ansible, Grafana, Linux.

Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. - provided by Dice

 
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