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Senior data analytics software engineer

Zürich
Delivering synchronized finance
Software Ingenieur
Inserat online seit: Veröffentlicht vor 9 Std.
Beschreibung

Description

About Digital Asset & the Canton Network
Digital Asset builds the technologies that are reshaping the foundations of financial markets. Our mission is to create the world's most trusted, privacy-enabled, and interoperable digital infrastructure for global finance.

At the heart of this mission is the Canton Network — the blockchain purpose-built for institutional finance. Uniquely combining privacy, compliance, and scalability, Canton enables real-time, secure settlement across multiple asset classes. Governed by the Canton Foundation with participation from leading financial institutions, it is the proven link between the promise of blockchain and the power of global finance.

Founded in 2014 and headquartered in New York City, with offices in London, Zurich, Budapest, Hong Kong, and Sydney — we are on a mission to transform finance — and that transformation is now playing out rapidly on the Canton Network.

If you're interested in playing a crucial role at the intersection of traditional and crypto-capital markets and want to help bring the next trillion dollars of finance on-chain, join us.

Requirements Experienced software engineer, as demonstrated by either your open-source libraries or commercial experience.
Experience with developing and deploying data systems.
Expertise in data analytics that extracts business insights from low-level data sources
Proven track record of building complex, user-friendly dashboards in Looker Studio, Tableau, or Looker.
Tech stack:
Expert proficiency in SQL, preferably in BigQuery
Proficiency in Typescript is a plus, but not required
Experience with IaC, specifically in Pulumi, is a plus
Engineering Mindset: Experience with Git, CI/CD pipelines, and software engineering best practices applied to data.
Experience in analyzing Web3 data is a plus, but not required
Very strong oral and written communication skills, anda proven record of coordinating between multiple business units and engineering teams.
Master's degree or PhD in computer science or a related discipline; or equivalent demonstrable experience.
Based in the US (specifically in NY, NJ, or CT) or the greater Zurich area, Switzerland.

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