BI Engineer

Job Title: BI Engineer – Amazon QuickSight Developer

Job Summary

Key Responsibilities

Dashboard Development & Visualization

• Design, develop, and maintain interactive QuickSight dashboards using advanced visuals,
  

• Create reusable datasets and calculated fields using both SPICE and Direct Query modes.
• Implement advanced analytics such as level-aware calculations, ranking, period-over-period
  

• Build dynamic, user-driven dashboards with multi-select filters, dropdowns, and custom date
  

• Optimize performance and usability to maximize business value and user engagement.
  

QuickSight Administration

• Manage users, groups, and permissions through QuickSight and AWS IAM roles.
• Implement and maintain row-level security (RLS) to ensure appropriate data access.
• Monitor usage, SPICE capacity, and subscription resources to maintain system performance.
• Configure and maintain themes, namespaces, and user interfaces for consistent experiences.
• Work with IT/cloud teams on account-level settings and AWS integrations.
  

Collaboration & Data Integration

• Partner with data engineers and analysts to understand data structures and business needs.
• Integrate QuickSight with AWS services such as Redshift, Athena, S3, and Glue.
• Ensure data quality and accuracy through robust data modeling and SQL optimization.
  

Required Skills & Qualifications

• 3+ years of hands-on experience with Amazon QuickSight (development and administration).
• Strong SQL skills and experience working with large, complex datasets.
• Expert-level understanding of QuickSight security, RLS, SPICE management, and user/group
  

• Strong sense of data visualization best practices and UX design principles.
• Proficiency with AWS data services including Redshift, Athena, S3, Glue, and IAM.
• Solid understanding of data modeling and business reporting frameworks.
  

Nice To Have

• Experience with Python, AWS Lambda, or automating QuickSight administration via SDK or CLI.
• Familiarity with modern data stack tools (e.g., dbt, Snowflake, Tableau, Power BI).
  

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