Data Engineer / Senior Data Engineer
ArcadiaFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Candidates need 2+ years of experience in an Analytics Engineering or Data Engineering role with a focus on large scale data transformation and data warehousing, excellent SQL coding skills, and experience with cloud-based data warehouse technologies such as Snowflake, Google BigQuery, or AWS Redshift.
This information is not specified in the job description.
This information is not specified in the job description.
The culture is fast-moving, performance-obsessed, and driven by continuous improvement, with a global presence across 19 offices on six continents and London as HQ.
A strong candidate will have 2+ years in analytics or data engineering focused on large-scale data transformation, excellent SQL skills, and hands-on experience with cloud data warehouses like Snowflake or BigQuery, plus the ability to design scalable data pipelines and collaborate with finance teams.
High-performance payments platform for enterprises
Checkout.com provides a payments platform that helps businesses process payments, send payouts, and manage card programs. The platform is designed for large enterprises and growing businesses, allowing them to handle high volumes of transactions quickly and reliably. It integrates with clients' existing systems and offers a range of payment services, generating revenue through transaction fees and subscriptions. Unlike many competitors, Checkout.com focuses on providing a comprehensive, cloud-based solution that supports the financial operations of its clients across the globe. The goal of Checkout.com is to streamline payment processes and enhance the payment experience for both businesses and their customers.