Senior Cloud Data Engineer

Company Description

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. The Guardant Health oncology platform leverages capabilities to drive commercial adoption, improve patient clinical outcomes and lower healthcare costs across all stages of the cancer care continuum. Guardant Health has commercially launched Guardant
360®, Guardant
360 CDx, Guardant
360 Tissue Next™, Guardant
360 Response™, and Guardant

OMNI® tests for advanced stage cancer patients, and Guardant Reveal™ for early-stage cancer patients. The Guardant Health screening portfolio, including the Shield™ test, aims to address the needs of individuals eligible for cancer screening.

Job Description

We are on the hunt for a dynamic and proficient Cloud Data Engineer to join our Guardant Data Platform within the Data Team.

Duties and Responsibilities
Quickly learn and adapt to new technologies as the Data Team's technology stack evolves, demonstrating the ability to tackle new challenges.
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 Git Hub, 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, Dynamo

DB, Cloud Watch, 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.

Qualifications
A minimum of 8 years of experience in software development, with at least 3-5 years focused on building scalable and stable data pipelines using the AWS tech stack.
Proven experience in constructing Data Pipelines in the AWS Cloud, gained through job experience or personal projects.
Data and AWS Tools
Strong programming skills and proficiency in SQL.
Familiarity with a range of AWS Analytics Ecosystem components, including but not limited to Apache Airflow, Apache Spark, S3, Glue, Kafka, AWS Athena, Lambda, Redshift, Lake Formation, AWS Batch, ECS - Fargate, Kinesis, Flink, Dynamo

DB, and Sage Maker.
Should have experience in using IaC while deploying the Data Pipelines in AWS. Example
-terraform, Cloud Formation, etc.

Experience with Docker, Kubernetes, ECR, EC2, VPC, SNS, SQS, Cloud Watch is highly valued.
Experience in building Jenkins deployment pipelines is highly valued.
Proficiency in using collaboration tools like JIRA, Confluence, Git Hub is beneficial.
Exposure to No

SQL databases is an advantage.

Additional Information

Job Location:

Hyderabad, Telangana, India. (Hybrid model - Work from Office).

Why Join Us?
At Guardant Health, we are on a mission to conquer cancer with data. You’ll be part of a team that is revolutionizing precision oncology through cutting-edge technology and innovative software solutions. If you are a technically strong, people-oriented leader who thrives in a collaborative and high-impact environment, we’d love to hear from you!