Follow the technical strategy and direction for the Data Platform environment at GFS, including tools, techniques, and processes.
Help design and build technology solutions across multiple initiatives at the same time.
Collaborate with others on the team to rapidly prototype and implement technical architectures to deliver insightful solutions.
Understand the business analytics problems the company faces and help build solutions that solve them.
Work on a high-performing team focused on results and relationships.
Performs other duties as assigned.

Experience writing software at a large enterprise.
Experienced in modern data movement technologies (e.g. serverless, real-time, as needed computing, low latency data movement, high volume data management, etc...).
Experience working with devops processes to deliver code quickly with a high degree of confidence and quality.
Experience in understanding and developing complex data models
Business Influence
Experience in empathizing with users and adjusting the technical solution to solve their problems.
Experience in working with data visualization tools (Microstrategy, PowerBI, Looker, Tableau, etc…).
Preferred languages include but are not limited to Python, Terraform, and Java.
Experience with one or many cloud computing providers (e.g. GCP, AWS, Azure) preferred.
Preferred tool experience include but not limited to Apache Airflow, Kafka, Attunity, databases, queuing, Microstrategy preferred.
Knowledge of data governance, expectations and leading practices preferred.
Experience evaluating alternate solutions to a technical problem while considering the cost and benefit preferred.

Intermediate Data Engineer

Key skills