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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