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Senior BI Engineer(Amazon QuickSight)

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Onsite

Senior BI Engineer(Amazon QuickSight)

J&M Group

Senior BI Engineer(Amazon QuickSight)

Skills

TableauPythonAWS LambdaAWS

11 days ago

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Important information


Contract type:

Permanent

Location:

Toronto, ON, Canada

Work mode:

Onsite

Published on:

16 October 2026

What they need


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, and 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.

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