BI Platform Operations Engineer –

Tech Talent International; Toronto; Hybrid; CAD 103.000 - 106.000; Vollzeit

Zusammenfassung

Tech Talent International (TTI) is seeking a SBI Platform Operations Engineer – Tableau, Amazon QuickSight & AWS for a global client. Location: Hybrid, Toronto, ON, Canada; 6-12 month contract; rate $75-$77/hr.

You will administer Tableau Server and QuickSight, manage dashboards, datasets, permissions, and automate tasks using AWS SDKs and QuickSight APIs. Reliability, security, and incident management are key.

Qualifikationen

• 10+ years of experience supporting enterprise BI and analytics platforms.
• Strong hands-on Tableau Server Administration experience.
• Extensive experience Amazon QuickSight in production environments.

Aufgaben

• Administer and support enterprise BI platforms including Tableau Server and QuickSight.
• Manage dashboards, datasets, data sources, and permissions.
• Automate asset provisioning and permissions via AWS SDKs and QuickSight APIs.
• Monitor platform health with CloudWatch; troubleshoot data access issues.
• Provide incident, problem management, and root-cause analysis.
• Maintain operational runbooks and technical docs.

Kenntnisse

Tableau Server

Amazon QuickSight

AWS

Python

PowerShell

Bash

AWS CLI

REST APIs

CloudWatch

CI/CD

IaC

JavaScript

TypeScript

Angular

ITIL

Incident Mgmt

Jobbeschreibung

Tech Talent International (TTI) supplies technical talent to a variety of clients ranging from Fortune 100/500/1000 companies to startups, small and mid‑sized organizations in Canada/US. We are currently hiring a SBI Platform Operations Engineer – (Tableau, Amazon QuickSight & AWS) for our global consulting client.

Role: BI Platform Operations Engineer – (Tableau, Amazon QuickSight & AWS)

Rate Range: $75 -77/hr C2C (40 hrs /week)

Duration: 6-12 months

Location: Hybrid, 2-3 days in office, Toronto, ON, Canada

Key Responsibilities

• Administer and support enterprise BI platforms, including Tableau Server and Amazon QuickSight.
• Manage and troubleshoot QuickSight analyses, dashboards, datasets, data sources, themes, folders, templates, permissions, and related assets.
• Support SPICE ingestion, dataset refreshes, direct queries, data‑source connectivity, dashboard publishing, sharing, and access management.
• Manage and automate QuickSight assets and permissions using QuickSight APIs and AWS SDKs.
• Troubleshoot Athena‑based BI workloads and data access issues.
• Support AWS Glue Data Catalog, including databases, tables, schemas, partitions, and metadata management.
• Manage and troubleshoot Lake Formation permissions and data access controls.
• Support serverless applications utilizing AWS Lambda and API Gateway integrations.
• Troubleshoot API integrations and REST‑based services supporting BI applications.
• Monitor platform health using Amazon CloudWatch logs, metrics, dashboards, and alarms.
• Investigate and resolve infrastructure, authentication, authorization, connectivity, and performance issues.
• Perform incident management, problem management, root‑cause analysis, and production support activities.
• Develop automation scripts and operational tooling to improve platform reliability and efficiency.
• Maintain technical documentation, operational procedures, and support runbooks.

Core Qualifications

• 10+ years of experience supporting enterprise BI and analytics platforms.
• Strong hands‑on experience with Tableau Server Administration and operational support.
• Extensive experience administering and supporting Amazon QuickSight in production environments.
• Experience supporting:
  • QuickSight Dashboards
  • Analyses
  • Datasets
  • Data Sources
  • Themes
  • Templates
  • Permissions & Access Controls
• Experience troubleshooting:
  • SPICE Ingestion
  • Dataset Refreshes
  • Direct Queries
  • Dashboard Publishing
  • Sharing & Access Issues
  • Data Connectivity Issues
• Experience with Amazon QuickSight APIs and AWS SDKs.
• Strong knowledge of:
  • Amazon Athena
  • AWS Glue Data Catalog
  • AWS Lake Formation
  • AWS IAM
• Experience with:
  • AWS Lambda
  • API Gateway
  • REST APIs
  • Serverless Architectures
• Strong experience using Amazon CloudWatch for monitoring and observability.
• Ability to troubleshoot issues across application, infrastructure, API, Lambda, and AWS service layers.
• Experience with production support, incident management, problem management, and root‑cause analysis.
• Experience with scripting and automation using:
  • Python
  • PowerShell
  • Bash
  • AWS CLI
• Excellent analytical, troubleshooting, documentation, and communication skills.

Preferred Qualifications

• Experience with Amazon Q in QuickSight and Generative BI capabilities.
• Experience with Amazon Q Topics and semantic modeling for natural language analytics.
• Familiarity with Quick Suite agents, chat experiences, and Spaces.
• Experience with embedded QuickSight and programmatic dashboard management.
• Understanding of Angular, JavaScript, or TypeScript.
• Experience operating BI Platform-as-a-Service (BI PaaS) or BI-as-a-Service environments.
• Experience supporting custom applications built on QuickSight APIs.
• Experience troubleshooting end-to-end data flows involving:
  • QuickSight
  • Athena
  • Glue Data Catalog
  • Lake Formation
  • S3
  • IAM
• Experience supporting serverless architectures leveraging Lambda and API Gateway.
• Experience with Tableau Server upgrades, backup/restore, monitoring, and performance tuning.
• Familiarity with CI/CD pipelines, Infrastructure as Code (IaC), and cloud deployment practices.
• Knowledge of ITIL-based incident, problem, and change management practices.
• Experience supporting enterprise environments with strong security, governance, and compliance requirements.

Key Skills

• Tableau Server
• Amazon QuickSight
• AWS
• Amazon Athena
• AWS Glue Data Catalog
• AWS Lake Formation
• AWS IAM
• AWS Lambda
• API Gateway
• REST APIs
• CloudWatch
• SPICE
• BI Platform Administration
• Data Analytics
• Dashboard Management
• Root Cause Analysis
• Incident Management
• Problem Management
• Python
• PowerShell
• Bash
• AWS CLI
• Serverless Architecture
• CI/CD
• Infrastructure as Code (IaC)
• Amazon Q
• JavaScript
• TypeScript
• Angular
• ITIL