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AdastraCorpPosted 1 week ago

Lead Quicksight Developer

HybridMarkham, Ontario, Canada

ContractSenior LevelLarge

Job Summary

Administer and automate the Amazon QuickSight platform using APIs, SDKs, and boto3 to build scalable and secure data visualization infrastructure. Design automated dataset provisioning and governance processes, while configuring SPICE capacity and implementing Row-Level and Column-Level Security. Manage namespaces, users, and lifecycle processes through automation, integrating QuickSight with AWS Lake Formation for secure data access. Troubleshoot platform, dataset, refresh, and integration issues, collaborating with data engineering, cloud, and analytics teams to support enterprise data enablement initiatives.

Required Qualifications

  • Strong hands-on experience administering and automating the Amazon QuickSight platform
  • Strong experience with Amazon QuickSight APIs, SDKs, and boto3
  • Deep understanding of SPICE, including incremental and event-driven refresh and capacity management
  • Experience automating QuickSight dataset provisioning and governance
  • Strong experience implementing and automating Row-Level Security (RLS) and Column-Level Security (CLS)
  • Experience managing QuickSight namespaces, users, subscriptions, and user lifecycle processes
  • Hands-on experience integrating QuickSight with AWS Lake Formation
  • Strong understanding of AWS cloud services and data governance concepts
  • Experience developing automation and repeatable processes for enterprise analytics platforms
  • Strong troubleshooting, problem-solving, and communication skills
  • Experience working in enterprise data and analytics environments

Desired Qualifications

  • Experience supporting large-scale enterprise QuickSight environments
  • Experience with broader AWS data and analytics services
  • Experience with infrastructure automation and DevOps practices
  • Experience working with financial services or investment management organizations
  • Experience collaborating across data engineering, cloud, AI, and analytics teams

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