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BI Platform Operations Engineer
Job description
We are looking for a hands-on BI Platform Operations Engineer to provide production operational support, administration, maintenance, and technical troubleshooting for our enterprise Business Intelligence platforms and associated AWS services. The role primarily supports Tableau and Amazon Quick. Sight / Amazon Quick Suite, including a custom BI-as-a-Service (BIaaS) platform built on top of Amazon Quick.
Sight. The BIaaS platform consists of multiple backend services, RESTful APIs, AWS serverless and data services, and a web-based user interface. This is primarily a platform engineering and production support role, rather than a dashboard/report development position. The successful candidate will be comfortable troubleshooting across BI, application, API, data, AI-assisted analytics, and cloud infrastructure layers, and working with engineering teams to maintain a reliable and stable production service.
Req#1094783533 Responsibilities Provide production operational support, administration, and maintenance for Tableau and Amazon Quick. Sight/Quick Suite platforms Administer and support the custom BIaaS platform, including backend services, APIs, and underlying AWS infrastructure Troubleshoot Quick. Sight assets (Dashboards, Datasets, Data Sources, permissions, sharing) and related access issues Diagnose and resolve issues with SPICE ingestion, dataset refreshes, and data source connectivity Monitor and troubleshoot supporting AWS services, including Athena, Glue, Lambda, API Gateway, and Cloud.
Watch Investigate and resolve API integration issues across RESTful services and Lambda functions Analyze logs across application, API, and AWS services to identify root cause of multi-layer issues Participate in a rotation-based on-call schedule to support production incidents Lead or support incident management, problem management, and root-cause analysis activities Build and maintain scripts/automation to support platform operations and administrative tasks Requirements Strong hands-on experience supporting enterprise BI platforms in production environments Strong experience with Tableau Server administration and operational support Strong hands-on experience with Amazon Quick.
Sight administration, authoring, and production support Experience with Amazon Quick. Sight APIs / AWS SDKs for programmatic management of assets and permissions Working knowledge of Amazon Athena and AWS Glue Data Catalog Experience with AWS Lambda and Amazon API Gateway, including troubleshooting serverless components Strong understanding of RESTful API concepts and experience troubleshooting API integrations Hands-on experience with Amazon Cloud.
Watch (logs, metrics, dashboards, alarms) and AWS IAM Experience with production incident management, problem management, and root-cause analysis Experience with scripting or automation using Python, Power. Shell, Bash, or AWS CLI
Description copied from EPAM Systems's careers page. Read the full posting before you apply.
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