BI Platform Operations Engineer
- Toronto, ON, Canada
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Job details
- Job type
- Contract
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- Posting language
- English
- Posted
Original job description
- 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 QuickSight administration, authoring, and production support.
- Experience supporting and troubleshooting QuickSight:
- Analyses
- Dashboards
- Datasets
- Data Sources
- Themes
- Folders
- Templates
- Permissions
- Related assets
- Experience troubleshooting SPICE ingestion, dataset refreshes, direct queries, data-source connectivity, dashboard publishing, sharing, and access issues.
- Experience with Amazon QuickSight APIs / AWS SDKs, including programmatic management of QuickSight assets and permissions.
- Working knowledge of Amazon Athena and troubleshooting Athena-based BI workloads.
- Working knowledge of the AWS Glue Data Catalog, including databases, tables, schemas, partitions, and metadata.
- Understanding of AWS Lake Formation, particularly permissions and data-access management.
- Experience with AWS Lambda and troubleshooting serverless application components.
- Experience with Amazon API Gateway, particularly Lambda integrations and REST APIs.
- Strong understanding of RESTful API concepts and experience troubleshooting API integrations.
- Hands-on experience with Amazon CloudWatch, including logs, metrics, dashboards, and alarms.
- Strong understanding of AWS IAM, roles, policies, permissions, and service-to-service access.
- Experience troubleshooting BI platform infrastructure, data connectivity, authentication, authorization, permissions, and performance issues.
- Ability to analyze application, server, API, Lambda, and AWS service logs to troubleshoot issues across multiple technology layers.
- Experience with production incident management, problem management, and root-cause analysis.
- Experience with scripting or automation using technologies such as Python, PowerShell, Bash, AWS CLI, or similar tools.
- Strong troubleshooting, analytical, documentation, and communication skills.
- Experience or familiarity with Amazon Q in QuickSight / Quick Suite, including conversational and generative BI capabilities.
- Experience with Amazon Q Topics and semantic configuration for natural-language analytics.
- Familiarity with Quick Suite agents, chat/agent experiences, and Spaces.
- Understanding of modern web applications and experience with Angular, JavaScript, or TypeScript.
- Experience operating a BI Platform-as-a-Service or BI-as-a-Service environment.
- Experience supporting custom applications built around Amazon QuickSight APIs.
- Experience with embedded QuickSight and programmatic dashboard or asset management.
- Experience troubleshooting end-to-end data flows involving QuickSight, Athena, Glue Data Catalog, Lake Formation, S3, and IAM.
- Experience supporting serverless architectures involving API Gateway and Lambda.
- Experience with Tableau Server infrastructure upgrades, backup/restore, monitoring, and performance tuning.
- Familiarity with CI/CD pipelines and application deployment processes.
- Familiarity with infrastructure-as-code and cloud deployment practices.
- Familiarity with ITIL-based incident, problem, and change-management practices.
- Experience supporting enterprise environments with strong security, governance, and access-control requirements.
More about this job
Responsibilities
Administer and provide production support for Tableau Server and Amazon QuickSight, troubleshooting BI assets, data flows, permissions, connectivity, authentication, and performance. Analyze logs across AWS and application layers, manage incidents and root-cause investigations, and use scripting or APIs to automate platform operations.
Requirements
The role requires hands-on experience supporting enterprise BI platforms, especially Tableau Server and Amazon QuickSight, along with working knowledge of AWS services including Athena, Glue Data Catalog, Lake Formation, Lambda, API Gateway, CloudWatch, and IAM. Candidates should have strong troubleshooting, analytical, documentation, and communication skills, plus experience with production incidents and scripting or automation.
Skills
- Tableau Server Administration
- Amazon QuickSight
- AWS SDKs and QuickSight APIs
- Amazon Athena
- AWS Glue Data Catalog
- AWS Lake Formation
- AWS Lambda
- Amazon API Gateway
- REST APIs
- Amazon CloudWatch
- AWS IAM
- Python, PowerShell, and Bash
- Production Incident Management
- Root-Cause Analysis
- BI Platform Troubleshooting
- Data Connectivity and Access Management
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Data & Analytics
- Software
- Engineering
Keywords
- Business Intelligence
- Tableau Server
- Amazon QuickSight
- QuickSight APIs
- AWS SDKs
- Amazon Athena
- AWS Glue Data Catalog
- AWS Lake Formation
- Amazon S3
- AWS Lambda
- Amazon API Gateway
- REST APIs
- Amazon CloudWatch
- AWS IAM
- SPICE
- Python
- PowerShell
- Bash
- AWS CLI
- Production Support
- Incident Management
- Problem Management
- Root-Cause Analysis
- Data Connectivity
- Access Control
- Serverless Architecture
- CI/CD
- Infrastructure as Code
- ITIL
- Generative BI