Entry - Level Data Engineer at GM, focusing on building large scale data platforms in cloud environments. Collaborating with data engineers and scientists while migrating systems to cloud solutions.
About the role
- Data Engineer designing and managing data platforms using Snowflake for Grainger. Leading collaboration and mentorship while optimizing data workflows and infrastructure.
Responsibilities
- Design and manage scalable data platforms using Snowflake and AWS.
- Architect secure automated infrastructure with CI/CD pipelines.
- Develop real-time data processing pipelines using Kafka and Spark.
- Lead collaborations and guide interns to establish data solutions.
Requirements
- Master’s degree in Business Analytics & Information Management or related field plus 2 years related experience.
- Design and manage scalable data platforms and workflows using Snowflake, Airflow, Astronomer, and AWS, ensuring high availability, optimized performance, and seamless orchestration.
- Architect and implement secure, automated infrastructure using CI/CD pipelines, Terraform, GitHub Actions, HashiCorp Vault, DataLake and AWS IAM roles to enforce governance, access control, and authentication best practices.
- Develop and optimize ETL and real-time data processing pipelines using Airflow, Snowflake, Kafka, Hadoop, and Spark to support enterprise analytics, improve performance, and enhance data-driven decision-making.
- Lead cross-functional collaborations, mentorship, and data-driven experimentation by guiding interns and new team members, conducting A/B experiments, and partnering with external teams to establish scalable data solutions.
Benefits
- For more information, visit: https://experience100.ehr.com/grainger/Home/Tools-Resources/Key-Resources/New-Hire
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