Bi Platforms Operations Engineer
RedPico
Location: Toronto, ON or New York, NY - hybrid, 4 days onsite.
Red Pico is hiring a hands-on BI Platform Operations Engineer to support the reliability and day-to-day operation of enterprise BI platforms, with a focus on Tableau Server, Amazon QuickSight / Quick Suite, and a BI-as-a-Service platform built on Amazon QuickSight. You will provide platform administration, production support and technical troubleshooting across BI solutions, AWS services, APIs, data services and cloud infrastructure, working closely with engineering, application, data and infrastructure teams to resolve incidents, automate operational activities and drive continuous improvement.
Responsibilities:
Provide day-to-day production support for Tableau Server, Amazon QuickSight / Quick Suite and supporting AWS services
Monitor platform availability, performance, capacity, scheduled workloads and overall service health
Investigate production incidents, failed jobs, connectivity issues, access problems and API failures, and perform root-cause analysis
Administer Tableau Server infrastructure, configuration, sites, projects, users, groups, permissions and content access
Support Tableau Server upgrades, patching, migrations and platform maintenance- Administer and troubleshoot QuickSight analyses, dashboards, datasets, data sources, SPICE ingestion, publishing, sharing and access
Manage QuickSight assets and permissions programmatically using QuickSight APIs and AWS SDKs
Troubleshoot integrations across QuickSight, Athena, AWS Glue Data Catalog, Lake Formation, S3 and IAM
Support AWS Lambda functions, Amazon API Gateway endpoints and RESTful API integrations
Use Amazon CloudWatch logs, metrics, dashboards and alarms to identify and resolve production issues- Develop operational runbooks, automate repetitive activities and support incident, problem, release and change management
Qualifications:
Hands-on experience supporting enterprise BI platforms in production environments
Strong Tableau Server administration and operational support experience
Strong hands-on Amazon QuickSight administration, authoring and production support
Experience troubleshooting SPICE ingestion, scheduled refreshes, direct queries, data-source connectivity, publishing, sharing and access issues- Experience using QuickSight APIs or AWS SDKs to manage BI assets and permissions programmatically
Working knowledge of Amazon Athena, AWS Glue Data Catalog and Lake Formation
Experience with AWS Lambda, Amazon API Gateway and RESTful APIs
Strong understanding of AWS IAM roles, policies, permissions and service-to-service access
Hands-on experience with Amazon CloudWatch logs, metrics, dashboards and alarms
Scripting or automation using Python, PowerShell, Bash, AWS CLI or similar
Nice to have:
Amazon Q in QuickSight / Quick Suite, including conversational and generative BI capabilities
Experience operating a BI-as-a-Service environment or embedded QuickSight
Tableau Server upgrades, backup and recovery, monitoring and performance tuning
CI/CD pipelines, infrastructure-as-code and cloud deployment practices
ITIL-based incident, problem and change-management practices
#J-18808-Ljbffr
Red Pico is hiring a hands-on BI Platform Operations Engineer to support the reliability and day-to-day operation of enterprise BI platforms, with a focus on Tableau Server, Amazon QuickSight / Quick Suite, and a BI-as-a-Service platform built on Amazon QuickSight. You will provide platform administration, production support and technical troubleshooting across BI solutions, AWS services, APIs, data services and cloud infrastructure, working closely with engineering, application, data and infrastructure teams to resolve incidents, automate operational activities and drive continuous improvement.
Responsibilities:
Provide day-to-day production support for Tableau Server, Amazon QuickSight / Quick Suite and supporting AWS services
Monitor platform availability, performance, capacity, scheduled workloads and overall service health
Investigate production incidents, failed jobs, connectivity issues, access problems and API failures, and perform root-cause analysis
Administer Tableau Server infrastructure, configuration, sites, projects, users, groups, permissions and content access
Support Tableau Server upgrades, patching, migrations and platform maintenance- Administer and troubleshoot QuickSight analyses, dashboards, datasets, data sources, SPICE ingestion, publishing, sharing and access
Manage QuickSight assets and permissions programmatically using QuickSight APIs and AWS SDKs
Troubleshoot integrations across QuickSight, Athena, AWS Glue Data Catalog, Lake Formation, S3 and IAM
Support AWS Lambda functions, Amazon API Gateway endpoints and RESTful API integrations
Use Amazon CloudWatch logs, metrics, dashboards and alarms to identify and resolve production issues- Develop operational runbooks, automate repetitive activities and support incident, problem, release and change management
Qualifications:
Hands-on experience supporting enterprise BI platforms in production environments
Strong Tableau Server administration and operational support experience
Strong hands-on Amazon QuickSight administration, authoring and production support
Experience troubleshooting SPICE ingestion, scheduled refreshes, direct queries, data-source connectivity, publishing, sharing and access issues- Experience using QuickSight APIs or AWS SDKs to manage BI assets and permissions programmatically
Working knowledge of Amazon Athena, AWS Glue Data Catalog and Lake Formation
Experience with AWS Lambda, Amazon API Gateway and RESTful APIs
Strong understanding of AWS IAM roles, policies, permissions and service-to-service access
Hands-on experience with Amazon CloudWatch logs, metrics, dashboards and alarms
Scripting or automation using Python, PowerShell, Bash, AWS CLI or similar
Nice to have:
Amazon Q in QuickSight / Quick Suite, including conversational and generative BI capabilities
Experience operating a BI-as-a-Service environment or embedded QuickSight
Tableau Server upgrades, backup and recovery, monitoring and performance tuning
CI/CD pipelines, infrastructure-as-code and cloud deployment practices
ITIL-based incident, problem and change-management practices
#J-18808-Ljbffr
Vacancy posted 1 hour ago
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