π’ Job Opening: AWS Quicksight Lead

π’ Job Opening: AWS Quicksight Lead
⏰ Time and Venue π
- π Date Of Interview:
- πLocation:
- πContact Number:
Job Role: AWS Quicks Specialist/Lead
Location: Bangalore, Mumbai, Pune, Chennai, Hyderabad
Work Mode: Hybrid
Experience: 5-7 & 7-10 years
Skill: AWS Quick
Sight, SQL, SPICE, Data Visualization
Job Overview:
We are seeking a skilled Quick
Sight Developer to join our team and help build insightful, scalable, and interactive data visualizations using AWS Quick
Sight. The ideal candidate will have experience in business intelligence (BI), data analytics, and dashboard development with a strong understanding of cloud-based data solutions.
Role & responsibilities Design, develop, and maintain dashboards and reports using AWS Quick
Sight. Collaborate with data engineers, business analysts, and stakeholders to understand reporting requirements. Write and optimize SQL queries for data extraction and transformation. Develop and manage QuickSight datasets, SPICE caching, calculated fields, and visualizations. Ensure data accuracy, integrity, and usability for business decision-making. Troubleshoot performance issues and optimize dashboard loading times.
Provide documentation and training for end-users on QuickSight functionalities. Migration of tableau reports to QuickSight Preferred candidate profile Proven experience with AWS QuickSight for dashboard and report development. Strong understanding of BI tools, data modeling, and data visualization principles. Proficiency in SQL for querying large datasets and optimizing queries.
Knowledge of ETL processes and data pipelines. Strong analytical and problem-solving skills. Ability to work independently and collaboratively in a team environment. Migration of tableau reports to QuickSight
π Job Details
- Company:
- Role: Technical Lead
- Industry: IT Services & Consulting
- Department: Engineering - Software & QA
- Type: Full Time, Permanent
- Salary: Not specified
- Eligibility: Any Graduate
- Experience: 6 – 10 Years
- Skills: Spice, Data Visualization, SQL
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