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Job Title: BI Engineer – Amazon QuickSight Developer
Job Summary
We are seeking an experienced Amazon QuickSight Developer to join our BI team. This role requires deep expertise in designing and deploying intuitive, high-impact dashboards and managing all aspects of QuickSight administration. You’ll collaborate closely with data engineers and business stakeholders to create scalable BI solutions that empower data-driven decisions across the organization.
Key Responsibilities
Dashboard Development & Visualization
Design, develop, and maintain interactive QuickSight dashboards using advanced visuals, parameters, and controls.
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 comparisons, and custom KPIs.
Build dynamic, user-driven dashboards with multi-select filters, dropdowns, and custom date ranges.
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 administration.
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).
Apply Now
If you’re passionate about building scalable BI solutions and making data come alive through visualization, we’d love to hear from you!