Job
Description
AWS Quicksight Developer Key Responsibilities: Work with business stakeholders to gather, understand, and document data visualization requirements. Design and develop scalable, interactive dashboards and reports using AWS QuickSight with SPICE optimization. Optimize performance and manage SPICE capacity through partitioning, scheduling, and incremental refresh strategies. Integrate QuickSight with AWS data sources (Redshift, Athena, RDS, S3) and other enterprise systems. Create and manage QuickSight assets: datasets, analyses, dashboards, themes, and templates. Implement row-level security (RLS) and manage access permissions and embedding where applicable. Work with AWS CLI or SDK for automation of QuickSight assets. Troubleshoot performance issues, refresh failures, or incorrect visualizations. Provide user training, demo sessions, and documentation for dashboards and KPIs. Required Skills: Strong hands-on experience with AWS QuickSight. Proficient in SPICE dataset creation, optimization, and capacity management. Strong SQL skills to write and optimize queries across multiple databases (Redshift, Athena, RDS, etc.). Experience in creating custom calculated fields, filters, parameters, and controls in QuickSight. Use of custom actions, dynamic parameters, and advanced visualizations (maps, pivot tables, KPI tiles). Experience in embedding dashboards within internal/external portals or web applications. Knowledge of QuickSight APIs/SDK for automation and integration. Implementation of row-level security (RLS) and namespace-based multi-tenancy solutions. Handling incremental refresh and data ingestion strategies. Experience with AWS analytics architecture, including data pipelines, ETL tools (Glue/DBT), and data lakes. Understanding of how QuickSight fits into the broader AWS ecosystem (IAM, S3, Athena, Redshift, Lambda, etc.). Familiarity with data modeling, semantic layers, and performance optimization techniques. Excellent communication skills with ability to interface directly with business users, product managers, and analysts. Experience translating business KPIs into measurable metrics and impactful visualizations. Agile/scrum experience for iterative development and demo cycles.
