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Apptoza Inc.

BI Platform Operations Engineer

  • Toronto, ON, Canada

Contract

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The original listing is kept below for reference.

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Contract
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Posting language
English
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Original job description

Archived listing. The details below describe a past opening.

Job Title: BI Platform Operations Engineer

Location: Toronto, ON- 3days WFO

Employment Type: Contract

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, 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.

Reach at -

Email: ana@apptoza.com

Phone & WhatsApp#: 6788247770

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Responsibilities

Administer and support Tableau Server and Amazon QuickSight in production, troubleshooting BI assets, data ingestion and connectivity, access, permissions, and performance. Monitor and investigate issues across AWS services and APIs, automate operational tasks, and contribute to incident management, problem resolution, and root-cause analysis.

Requirements

Requires hands-on experience supporting enterprise BI platforms, especially Tableau Server and Amazon QuickSight, along with working knowledge of AWS data, serverless, API, monitoring, and identity services. Candidates should also have scripting or automation experience and strong troubleshooting, analytical, documentation, and communication skills.

Skills

  • Tableau Server Administration
  • Amazon QuickSight Administration
  • QuickSight APIs and AWS SDKs
  • Amazon Athena
  • AWS Glue Data Catalog
  • AWS Lake Formation
  • AWS Lambda
  • Amazon API Gateway
  • REST APIs
  • Amazon CloudWatch
  • AWS IAM
  • Python
  • PowerShell
  • Bash
  • AWS CLI
  • Production Incident Management

Visa sponsorship

Not detected in the job text

Hiring contact email

ana@apptoza.com

Categories

  • Technology
  • Data & Analytics
  • Software

Keywords

  • Business Intelligence
  • Tableau Server
  • Amazon QuickSight
  • QuickSight Analyses
  • QuickSight Dashboards
  • SPICE
  • Amazon Athena
  • AWS Glue Data Catalog
  • AWS Lake Formation
  • AWS Lambda
  • Amazon API Gateway
  • REST APIs
  • Amazon CloudWatch
  • AWS IAM
  • AWS SDKs
  • Python
  • PowerShell
  • Bash
  • AWS CLI
  • Data Connectivity
  • Authentication
  • Authorization
  • Permissions Management
  • Performance Troubleshooting
  • Production Support
  • Incident Management
  • Problem Management
  • Root-Cause Analysis
  • Automation

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