Data Engineer

If you are looking for an exciting opportunity to grow your career and contribute to the success of a growing company, we encourage you to apply for this position. We offer a competitive salary and benefits, as well as the opportunity to work with a dynamic and talented team. Come join us to build the next big thing in Fintech!
THE ROLE & PROBLEM SPACE - WHAT WE NEED
The North Star for Data & Analytics at Yabie is 100% self-service. We aim to make data, insights, and decision materials accessible to all stakeholders at any point, with the lowest possible thresholds. Our strategy to accomplish this is by automating data accessibility through pipelining, modeling, setting up intuitive semantic layers, and creating easy-to-use dashboards. As the Data Engineering Lead, you will work together with the Head of Analytics to own and develop this problem space. Responsibilities include:
OVERALL KEY TASKS & RESPONSIBILITIES
Owning the data warehouse, data model, and dashboard strategy and implementation
Handling backend engineering tasks, including integrating new data sources
Managing the full stack of the layering model, from raw data ingestion to the dashboard layer
Automating reporting processes
Setting the foundation for and later performing advanced analytics, including inference, machine learning, customer segmentation, etc.
Collaborating with the Head of Analytics to set and iterate on KPIs & Targets to develop a reporting framework for external and internal stakeholders



EXPERIENCE AND SKILLS - WHO YOU ARE
5-7 years of working experience in a related field
Warehousing: AWS experience is preferred but not mandatory
Data Modeling (ETL): Experience with DBT is preferred but not mandatory
Dashboarding: Basic knowledge required
Backend & API Integration: Experience required to connect more data sources to the warehouse
Advanced Analytics Skillset and Interest: An interest in advanced topics such as ML and AI is preferred