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 looking for an amazing autodidact Data Engineer to join our new-from-scratch data team! The chosen individual will play a pivotal role in converting business and product specifications into data analytics solutions, collaborating closely with developers and business stakeholders throughout the company. If you have a knack for building data analytics solutions that deliver clarity and promote data-driven decisions, we'd love 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.
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Required skills and qualifications
- 4+ years of experience as a Data Engineer.
- 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.
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 CDC solutions
- Experience with FinTech industry
Benefits
- Hybrid work mode
- Pets, Kids & Spouse friendly
- Stock options