Intermediate Data Engineer

The Data Engineer will use their inquisitiveness, tenacity, and willingness to learn, to help develop the GFS Data Platform consisting of the data lake, analytics, enterprise data warehouse, and visualization tools. They need to have the ability to follow the teams technical direction by writing high quality code and following modern design principles. They will build data solutions in an agile and incremental manner and is an active participant in all team ceremonies. They need to have the ability to understand complex architecture and engineering designs and have the skill to help implement them. They need to understand the business problem they are trying to solve and can appropriately apply technology to help solve it, and have strong personal skills to develop relationships with peers on their team

What you will do:

• 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

When you will work:

• Monday to Friday, 8am to 5pm
• Hybrid schedule, 4 days in office in Wyoming, MI or Atlanta, GA with 1 day remote

• 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.