Back
Global payments brand, metro locations, broad common data skillset, and generalist Data Engineer demand drive high competition.
Core data engineering skills are highly transferable across industries despite payments domain context.
Mandatory 10+ years and specific Snowflake/AWS/Python/DBT/SQL tech requirements.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own end-to-end delivery of complex, large-scale data engineering projects including design, development, and implementation of data and ETL pipelines.
Provide high-level data engineering services to clients and mentor team members.
Review, analyze, and improve programming systems through testing, debugging, and deployment for large-scale systems.
10+ years of Data Engineering experience with proven ability to build data architectures and manage large-scale datasets.
Proficient in Python, ETL/ELT, Snowflake, advanced SQL, Unix, AWS, DBT, and Github CICD.
Experience creating and maintaining data models, databases, and pipelines on cloud platforms.
Work Experience Required: 10+ years in Data Engineering domain.
Experienced in delivering data solutions supporting business and analytics needs in large-scale environments.
Skilled at optimizing performance and scalability of queries and data structures in cloud-based systems.
Capable of collaborating closely with cross-functional teams to enable data-driven decision-making and ensuring data security compliance.