We are seeking a skilled Starburst Enterprise Platform Engineer with expertise in Kubernetes, Helm charts, and Docker images. This role involves supporting, maintaining, and optimizing the Starburst Enterprise Platform deployed on Kubernetes with an RDS backend. The engineer will also be involved in new feature development, integration with application development, and automation efforts leveraging a broad range of data and analytical technologies.
Company Overview
Client is an innovation-driven global biopharmaceutical company focused on the discovery, development and commercialization of prescription medicines, primarily for the treatment of cardiovascular, renal and metabolic, respiratory and immunological, oncological and rare diseases. Harnessing data and using the best technology solutions available allow us to positively impact science.
Key Responsibilities
Platform Support:
Provide technical support and troubleshoot issues related to the Starburst Enterprise Platform.
Ensure platform performance, availability, and reliability using Helm charts for resource management.
Deployment and Configuration:
Manage deployment and configuration of the Starburst Enterprise Platform on Kubernetes using Helm charts and YAML-based values files.
Build and maintain Docker images as needed to support efficient, scalable deployments and integrations.
Employ GitHub Actions for streamlined CI/CD processes.
User Onboarding and Support:
Assist in onboarding users by setting up connections, catalogs, and data consumption client tools.
Address user queries and incidents, ensuring timely resolution and issue triage.
Maintenance and Optimization:
Perform regular updates, patching, and maintenance tasks to ensure optimal platform performance.
Conduct application housekeeping, user query logs, and access audits.
Scripting and Automation:
Develop automation scripts using Python and GitHub pipelines to enhance operational efficiency.
Document workflows and ensure alignment with business objectives.
Broader Knowledge and Integration:
Maintain expertise in technologies like Immuta, Apache Ranger, Collibra, Snowflake, PostgreSQL, Redshift, Hive, Iceberg, dbt, AWS Lambda, AWS Glue, and Power BI.
Provide insights and recommendations for platform improvements and integrations.
New Feature Development and Integration:
Collaborate with feature and product development teams to design and implement new features and integrations with other data product value chain systems and tools.
Assist in defining specifications and requirements for feature enhancements and new integrations.
Automation and Innovation:
Identify opportunities for process automation and implement solutions to enhance operational efficiency.
Innovate and contribute to the development of new automation tools and technologies.
Incident Management:
Support incident management processes, including triaging and resolving technical challenges efficiently.
Qualifications
Bachelor's degree in Computer Science, Information Technology, or a related field.
Experience supporting and maintaining applications deployed on Kubernetes using Helm charts and Docker images.
Understanding of RDS, GitHub Actions, and CI/CD pipelines.
Proficiency in Python and YAML scripting for automation and configuration.
Excellent problem-solving skills and the ability to support users effectively.
Strong verbal and written communication skills.
Preferred Qualifications
Experience working with Kubernetes (k8s).
Knowledge of data and analytical products like Immuta, Apache Ranger, Collibra, Snowflake, PostgreSQL, Redshift, Hive, Iceberg, dbt, AWS Lambda, AWS Glue, and Power BI.
Familiarity with cloud environments such as AWS.
Knowledge of additional scripting languages or tools is a plus.
Beneficial Experience
Exposure to Starburst or other data virtualization technologies like Dremio, Trino, Presto, and Athena.
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