Data Engineer

About us

Fuse is bringing FinTech to retail automotive in the US market.

As a rapidly expanding startup, our primary goal is to streamline and simplify the car-buying process, making it both swift and automated. With Fuse, a single individual can effortlessly navigate through the entire vehicle purchase journey in under an hour. From selecting the ideal vehicle to securing financing, our all-in-one ecosystem enables users to complete every step seamlessly, all from a single screen.

Job Overview

We are seeking an exceptional self-taught Data Engineer to join our newly formed data team from the ground up! The selected candidate will have a crucial role in translating business and product requirements into data analytics solutions, working closely with developers and business stakeholders across the company. If you excel at crafting data analytics solutions that provide clarity and foster data-driven decision-making, we'd be thrilled to hear from you.

Our stack to be - AWS DMS, Snowflake, dbt and Airflow, BI tool - TBD.

Responsibilities

• Join our brand-new data team and build new data infrastructure from scratch
• Develop and maintain data pipelines for efficient data extraction, transformation, and loading (ETL) processes.
• Design and optimize data storage solutions, including data warehouses and data lakes.
• Ensuring data quality and integrity through data validation, cleansing, and error handling.
• Continuously optimizing data architecture to support the company's evolving data needs.
• Collaborating with cross-functional teams to drive data-driven decision-making within the organization.

Requirements

• 4+ years of experience as a Data Engineer (A former BI Developer - an advantage).
• Expert in SQL and strong coding skills - Python is an advantage.
• Technical expertise with ETL/ ELT processes, data modeling, data warehousing, data orchestrations, and familiarity with cloud platforms.
• Great analytical and communication skills.
• Fluent in English.

Preferred skills and qualifications

• Bachelor’s degree (or equivalent) in computer science, information technology, engineering, or related discipline
• Experience with Snowflake, dbt, Airflow, and BI tools and in building one of the mentioned from scratch
• Experience with ML / AI 
• Experience with the FinTech industry

Benefits

• Hybrid work mode
• Pets, Kids & Spouse friendly
• Stock options