Nomad AI

Founding Engineer

Reposted One Month Ago

Remote or Hybrid

Hiring Remotely in Canada

Entry level

Remote or Hybrid

Hiring Remotely in Canada

Entry level

Build and maintain mission-critical wealth management systems for SMB clients. Design data pipelines, ETL/ELT processes, data models, warehouses, analytics, and reporting solutions using AWS, Snowflake, Mage AI, and other big data tools. Collaborate with data scientists and analysts on predictive models, statistical analyses, and machine learning algorithms. Develop software with Next.js and Python while working closely with the team and clients on financial-domain challenges.

The summary above was generated by AI

Role: Software Engineer

As a Founding Software Engineer with a focus on Wealth Management & Tools at Nomad AI, your primary responsibility will be to contribute to the development and maintenance of mission-critical systems that help tackle problems in SMB wealth management, using software tools such as AWS, NextJS and python. You will work closely with the team and clients to address high-impact, real-world challenges in the financial domain.

Enhanced Technical Expertise and Responsibilities:

Data Engineering: You will be responsible for designing, building, and maintaining ETL/ELT processes, data models, and data warehouses using Mage AI and other big data tools.
Data Analytics: You will collaborate with data scientists and analysts to develop and implement predictive models, statistical analyses, and machine learning algorithms using Mage AI and AWS tools.
Advanced Technology Exposure: Our systems incorporate cutting-edge technologies and tools available on the AWS platform, including database, search, inter-process communication, micro-services, vertical scaling, batch scheduling, and more, in conjunction with AWS's data warehousing capabilities.

The ideal candidate will have experience working with NextJS, AWS, and other big data tools, and will be responsible for:

Designing, building, and maintaining data pipelines, analytics, and reporting solutions using Snowflake and AWS tools.
Collaborating with data scientists and analysts to develop and implement predictive models, statistical analyses, and machine learning algorithms using NextJS and AWS tools.
Developing and maintaining ETL/ELT processes, data models, and data warehouses using AWS and other big data tools.

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