AWS QuickSight Engineer (Dashboard Analytics)
Experience :
3+ years overall IT | 2+ years in AWS QuickSight & SQL
Location : Mumbai, on site
Employment Type : Full-time
About the Role
Are you passionate about transforming data into stories that drive strategic business decisions?
We’re looking for an
AWS QuickSight Engineer
to join our growing analytics team — someone who loves crafting visually stunning, insightful dashboards and working hands-on with data to uncover trends, opportunities, and patterns that matter.
In this role, you’ll be at the forefront of our data-driven initiatives, designing and developing
interactive dashboards and analytics solutions
using
AWS QuickSight . You’ll collaborate closely with cross-functional teams to understand business goals, translate them into data models and visualizations, and ensure stakeholders have the insights they need to make confident decisions.
What You’ll Do
Design, develop, and maintain
interactive QuickSight dashboards and reports
that deliver key business insights.
Connect and integrate data from multiple sources including
RDS, Redshift, S3, and SQL databases .
Create
data sets, calculated fields, parameters, and custom visuals
for advanced analytics.
Optimize dashboard performance, ensuring scalability, speed, and efficiency across large datasets.
Collaborate with business stakeholders to gather requirements and translate them into technical specifications.
Work closely with data engineers and analysts to ensure data integrity and reliability.
Implement
role-based access control (RBAC) , manage permissions, and ensure data security within QuickSight.
Continuously explore new QuickSight features and AWS analytics capabilities to enhance reporting solutions.
What We’re Looking For
3+ years of overall IT experience , with a strong focus on business intelligence and analytics.
2+ years of hands-on experience in AWS QuickSight
— building dashboards, setting up datasets, and optimizing visuals.
Strong command over
SQL
for data extraction, transformation, and manipulation.
Experience with AWS data services like
S3, RDS, Redshift , or
Athena
is a plus.
Excellent communication skills in English — able to translate complex data insights into clear, actionable stories.
Strong analytical mindset, attention to detail, and a passion for visual storytelling through data.
A self-starter with curiosity and creativity, always looking for ways to make data more meaningful.
Why Join Us?
Work with a forward-thinking, data-driven organization that values innovation and insight.
Be part of a team that empowers decision-making through powerful analytics.
Opportunity to experiment with the
latest AWS technologies
and grow your cloud analytics expertise.
Collaborative, flexible, and supportive work culture.
Aws Engineer • Anantapur, Andhra Pradesh, India