DATA ENGINEER (HYBRID-CHARLOTTE, NC)

Compass Group•Charlotte, NC

21h•Hybrid

About The Position

We are Compass Digital—the digital and technology arm of Compass Group North America. We build and scale digital products and technologies to exceed the expectations of our guests and clients. Backed by research, we create remarkable user experiences with increased choice and convenience. We offer end-to-end solutions, simultaneously boosting sales and guest satisfaction. Compass Digital was developed from within Compass Group, focusing on driving transformation and innovation in the hospitality spaces across Business & Industry, Education, and Healthcare. We power digital in the hospitality experience, ensuring that each touchpoint is optimized for guest satisfaction while leveraging data to achieve additional outcomes. We are fully integrated into Compass Group, proudly serving its’ various clients through scalable, cutting-edge technologies and solutions.Job Summary:We're looking for a hands-on, collaborative Data Engineer to join our Data Services team. In this role you'll have the opportunity to build and troubleshoot ingestion pipelines for multiple sources of data. You will also work closely with our business intelligence and reporting solutions team to help develop valuable data models and visualizations for the business. We’re currently leveraging AWS cloud and using a range of AWS services like S3, DynamoDB, Athena, Redshift, SQS, Lambda and Glue. However, we are migrating to Snowflake as our primary data warehouse platform for new projects and developing a new data pipeline architecture

Requirements

3-5 year experience in a similar role
Good Communication and open to learning new skills
Bachelor’s degree or equivalent in Computer Science, Computer Engineering, Information Systems or similar
Programming skills with Python, Spark (bonus)
Experience with Airflow or similar system.
Experience with public cloud provider (AWS prefer)
Knowledge of SQL, relational database concepts and SQL scripting
Experience with Docker, Kubernetes, Spark, Snowflake, CI/CD a bonus

Responsibilities

Work with data analysts to build pipelines for required projects and requests
Define, build, test, and implement scalable data pipelines using python and SQL
Monitor pipeline performance and efficiency
Troubleshoot data related issues including missing data, poor data quality, etc.
Collaborate with analytics and reporting teams to develop data models that feed business intelligence tools
Maintain code via CI/CD process as defined in our Azure DevOps platform