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Starburst Platform engineer
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
Bachelors 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.
Key job details
About Virtusa
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa is an Equal Opportunity Employer. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state or local law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview. All candidates must be authorized to work in the USA.
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