Hybrid (Chicago, IL; Boston, MA) | Remote (Antarctica; Southeast Asia; North America) As a Backend Software Engineer in the Wealth Management & Tools division at DigitalNomads AI, your primary responsibility will be to contribute to the development and maintenance of mission-critical systems that help tackle problems in wealth management, using advanced software tools such as AWS and Snowflake. 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:
Snowflake Integration: You will work with Snowflake, a cloud-based data warehousing platform, to design and implement data pipelines, analytics, and reporting solutions for our wealth management clients. Data Engineering: You will be responsible for designing, building, and maintaining ETL/ELT processes, data models, and data warehouses using Snowflake 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 Snowflake 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 Snowflake’s data warehousing capabilities. The ideal candidate will have experience working with Snowflake, 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 Snowflake and AWS tools. Developing and maintaining ETL/ELT processes, data models, and data warehouses using Snowflake and other big data tools. Apply First Name * Last Name * LinkedIn Profile URL * Email * Phone Number Anything else we should know? Resume * Drag and drop files or browse computer
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Data Analyst data-warehouse Amazon Web Services (AWS) Machine Learning ETL Data Engineering ELT snowflake-cloud-data-platform Software Engineer