Data Engineer: Data Pipeline - Vietnam

Company Introduction Our mission is to enable every organization to be climate conscious and positive with the world’s best climate software and data products. Persefoni is creating an all-in-one platform that allows organizations to measure, analyze, and reduce their Enterprise Carbon Footprint. Our goal is to provide our customers unprecedented visibility and insights into the impact their organization has on the environment. Leveraging the latest breakthroughs in data science and software, our technology will empower teams and leaders to mobilize their organizations to continuously improve their greenhouse gas emissions metrics. About The Role (What you will get to do) The Data Engineer will be a key member to assist in building out our web services and backend persistence layer. Successful candidates should have a minimum of three years of recent professional programming in positions requiring the skills listed below with an emphasis on data integrity and data pipelines. Our project entails implementing our pre-approved development targets and developing a robust and reusable code framework to deliver a variety of new features across our product lines according to our preferred architecture design and best practices. Our backend stack is a combination of Golang, Redis, MySQL, and Snowflake while following the Clean Architecture Design pattern. APIs are documented and managed using the Open API framework and maintained in ReadMe. Our data pipelines for data loading and machine learning pipelines are managed via Databricks while our data transformation occurs with DBT against Snowflake within AWS cloud services. All development work is managed via JIRA tracked sprints, Github Git-flow branch management, and infrastructure is managed in AWS with monitoring in Datadog. Responsibilities (What we expect) Collaborate on the design of data models, technical architecture, data flows, schemas, and API contracts. Relay updates on existing work via Jira ticket status, push