Intermediate Data Engineer

Responsibilities

• 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.

• Python
• Terraform
• Java
• data movement technologies
• data models
• data visualization
• Microstrategy
• PowerBI
• Looker
• Tableau

• business influence
• empathy
• collaboration
• problem-solving
• results-oriented
• relationship building