The role involves designing, building, and supporting enterprise-scale data platforms and pipelines. Responsibilities include developing data models and transformations to support analytics and application workloads. The position requires orchestrating complex data workflows and implementing automated build, test, and deployment pipelines. Additionally, the role entails containerizing data services and leveraging cloud-native services to deliver reliable solutions. The work also includes monitoring, troubleshooting, and optimizing platform components to ensure performance.

Candidates must possess 69 years of experience in data engineering or platform solutions. Proficiency in Python, SQL, Shell, and Groovy is required, alongside hands-on experience with ELT/ETL pipelines and orchestration tools. Applicants must demonstrate technical competence in CI/CD, Docker, and AWS services. A bachelor's degree, preferably in Engineering or Business, is required for this position.