Using their inquisitiveness, tenacity, and willingness to learn, the Data Engineer will help develop the GFS Data Platform consisting of the data lake, analytics, enterprise data warehouse, and visualization tools.  This person will have the ability to follow the teams technical direction by writing high quality code and following modern design principles.

The Data Engineer builds data solutions in an agile and incremental manner and is an active participant in all team ceremonies.  They have the ability to understand complex architecture and engineering designs and the skill to help implement them.  The Data Engineer understands the business problem they are trying to solve and can appropriately apply technology to help solve it.

Essential Functions

• 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.

Knowledge / Skills / Abilities

• 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 
• Strong personal skills to develop relationships with peers on their team.

• 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 not limited to Python, Terraform, and Java.
• Experience in technical design, development, and delivery of advanced analytics technical environments.
• Bachelor’s degree in Computer Science, Information Technology, Advanced Analytics, Statistics, or related field.
• In lieu of the specified education and experience requirements, a proven capability to perform the essential functions of the job, as demonstrated by an equivalent combination of education, training and/or relevant work experience may be considered.

Nice to Haves

• Experience with one or many cloud computing providers (e.g. GCP, AWS, Azure).
• Preferred tool experience include but not limited to Apache Airflow, Kafka, Attunity, databases, queuing, Microstrategy.
• Knowledge of data governance, expectations and leading practices.
• Experience evaluating alternate solutions to a technical problem while considering the cost and benefit.