Data Engineer

Guardant Health is a leading precision oncology company focused on helping conquer cancer globally through use of its proprietary tests, vast data sets and advanced analytics. We are on the hunt for a dynamic and proficient Cloud Data Engineer to join our Guardant Data Platform within the Data Team.

Requirements

• Quickly learn and adapt to new technologies as the Data Team's technology stack evolves
• Consider all aspects of usability, scalability, deployment, integration, maintenance, and automation when integrating new technology stacks
• Demonstrate strong programming skills in at least one language (Python, Scala, Java) and the ability to learn additional languages as needed
• Build and maintain ETL pipelines and data-driven systems utilizing technologies such as Apache Spark, AWS Glue, Athena, Redshift, and AWS Batch
• Expertise in writing complex SQL queries is essential
• Manage code on GitHub, with a comprehensive understanding of advanced git operations, including git-flow, rebasing, and squashing
• Implement infrastructure as code using Terraform and utilize AWS Analytics and Data Services like Glue, S3, Lambda, AWS Batch, Athena, Redshift, DynamoDB, CloudWatch, Kinesis, SQS, SNS, and DMS
• Use Jenkins to implement deployment pipelines and engage in requirements gathering to estimate efforts for integrating new technology stacks
• Design and architect solutions for ML, Data Governance, Deployment/Integration Automations, and Data Analytics
• Explore and learn additional AWS services such as ECS, ECR, and EC2, along with Data Modeling