About the company
The global financial ecosystem is changing. Revolutionary blockchain technology has unlocked the potential for people around the world to have more equal access to wealth and information. This transformation has begun with the mass global adoption of cryptocurrencies but like all new financial systems, it needs greater trust to realize its full potential and remain safe from bad actors. That’s where we come in. The Chainalysis blockchain data platform enables businesses, governments, and banks to solve the world’s most high-profile criminal cases, paving the way for an economy built on blockchains.
Job Summary
📍The Data Engineer will design, build and maintain data integrations and automations between enterprise SaaS platforms and data warehouses. This work will be done in close partnership with colleagues in DEA to spin up and maintain data pipelines that support critical data-driven decisions across the company. 📍The ideal candidate will have experience working closely with Analytics and Business Systems stakeholders to empower business leaders and users by enabling solutions that will help them make decisions. They have held past roles developing robust data integrations and automations between enterprise platforms using a mixture of no-code and low-code tools as well as custom builds using a general purpose scripting language. They will also have worked with DevOps engineers to stand up and update cloud services and integration and deployment pipelines. 📍This role is open to remote candidates in Canada.
In one year you’ll know you were successful if…
📍You’ve developed and maintained data integrations and automations encompassing both ETL and Reverse ETL use cases 📍You’ve created and maintained documentation for those data integrations and automations 📍You’ve have built a data pipeline end to end using Chainalysis’ data stack 📍You’ve become comfortable with building custom solutions using cloud services 📍You’re working through a backlog of fixes and enhancements
A background like this helps:
📍Hands-on experience using no-code and low-code platforms like Fivetran and Workato to build data pipelines using off-the-shelf connectors to platforms like Redshift, Snowflake, Workday, Tableau, Salesforce and NetSuite 📍Hands-on experience using dbt to build models and transformations via source control tools like Git and GitHub 📍Ability to write and execute intermediate-level SQL queries Intermediate knowledge of RDBMS database structures and data formats like JSON 📍Obtaining authorization to and utilizing endpoint and resources via REST APIs 📍Experience in an Agile-like environment that includes user stories, sprints, grooming and retrospectives 📍Performing root cause analysis on integration and automation errors while identifying opportunities to improve instrumentation and observability 📍Basic skills with writing procedural code using Python Familiarity with orchestration tools like Airflow
📍At Chainalysis, we help government agencies, cryptocurrency businesses, and financial institutions track and investigate illicit activity on the blockchain, allowing them to engage confidently with cryptocurrency. We take care of our people with great benefits, professional development opportunities, and fun.