Associate Data Engineer

Position Summary

The Associate Data Engineer will help develop the GFS Data Platform, including the data lake, analytics, enterprise data warehouse, and visualization tools. They will write high-quality code and follow modern design principles, building data solutions in an agile and incremental manner.

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.
• Perform 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

What You’ll Bring To The Table

• Bachelor's Degree in Computer Science, Information Technology, Advanced Analytics, Statistics, or a related field required.
• 1-3 years of experience in technical design, development, and delivery of data engineering technical solutions strongly preferred.
• Experience writing software at a large enterprise.
• Experience with 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.