Senior Data Engineer - QuickSight

Posted 8 Hours Ago
Be an Early Applicant
Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Artificial Intelligence • Big Data • Machine Learning
The Role
Design, develop, and maintain production-scale Amazon QuickSight dashboards. Implement SPICE optimization, DirectQuery, data blending, custom visuals, and row-level security. Validate KPIs, test dashboard functionality, document implementations and test cases, model data and optimize SQL queries and visualizations for performance, and communicate requirements and results with stakeholders.
Summary Generated by Built In

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Must Have

  • 3+ years of experience with Amazon Quicksight with understanding of  all the latest features and functionalities.

  • Able to successfully understand the requirements from the customers POV  w.r.t KPIs, tooltips,user action on the dashboards, user persons and their respective requirements, access management etc

  • Understanding on  custom visual creation, SPICE optimization, Direct Query creation , data blending

  • Should be able to implement Row Level Security and other security measures.

  • Should be able to develop production scale Quicksight dashboard independently

  • Should be able to carry out testing of the dashboards, and their functionality and validate the KPI values with its calculations.

  • Ability to communicate effectively in business terms, as well as the ability to effectively communicate both internally and externally.

  • Ability to document the implementation done on Quicksight along with all the test cases and validations performed on the dashboards

  • 1-3 years of experience in SQL(with Windows function) and modeling required for implementing data warehousing standards, implementing complex queries

  • Abl to optimize queries, databases, and visualizations for performance, ensuring quick load times and seamless user experiences.

  • Develop and maintain data models that enable efficient querying and reporting in AWS QuickSight and other BI tools.

  • Good written and verbal communication skills

Good to have:

  • Familiarity with AWS services such as Redshift Spectrum, S3, or Athena, and how they can interact with Quicksight

  • Experience with Quicksight Access management, including publishing, scheduling, and user administration.

  • Experience with working on Tableau & Power BI(any one of them).

  • Experience with ETL/data workflow automation

  • Experience monitoring for complex AWS environments

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Skills Required

  • 3+ years of experience with Amazon QuickSight and its latest features
  • Understand customer requirements for KPIs, tooltips, user personas, actions, and access management
  • Experience with custom visual creation, SPICE optimization, DirectQuery creation, and data blending
  • Implement Row Level Security and other security measures in QuickSight
  • Develop production-scale QuickSight dashboards independently
  • Test dashboards, validate functionality, and verify KPI calculations
  • Document QuickSight implementations, test cases, and validations
  • 1-3 years of SQL experience including window functions and data modeling for warehousing standards
  • Optimize queries, databases, and visualizations for performance
  • Develop and maintain data models for efficient querying and reporting in QuickSight and other BI tools
  • Effective business and stakeholder communication (written and verbal)
  • Good written and verbal communication skills
  • Familiarity with AWS services (Redshift Spectrum, S3, Athena)
  • Experience with QuickSight access management: publishing, scheduling, and user administration
  • Experience with Tableau or Power BI
  • Experience with ETL/data workflow automation
  • Experience monitoring complex AWS environments

Quantiphi Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Quantiphi and has not been reviewed or approved by Quantiphi.

  • Wellbeing & Lifestyle Benefits Wellbeing initiatives such as monthly meeting-free AMA-Zen Days, health check-ups, and wellness counseling are designed to reduce burnout and support day-to-day balance. Broader wellness programs reinforce both physical and mental health.
  • Flexible Benefits Remote/hybrid options with flexible working hours provide meaningful autonomy over where and when work gets done. Flexible leave constructs, including sabbaticals and special day leaves, add practical adaptability to the package.
  • Parental & Family Support Paid parental leave in the U.S., alongside maternity and childcare support, signals solid backing for families. These family-oriented policies integrate with a wider health and wellness focus.

Quantiphi Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Marlborough, MA
3,494 Employees
Year Founded: 2013

What We Do

Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business. Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.

Similar Jobs

Intellectsoft Logo Intellectsoft

Senior Data Engineer

Consulting • PropTech
In-Office
Bengaluru, Bengaluru Urban, Karnataka, IND
199 Employees

Arcana Logo Arcana

Senior Data Engineer

Information Technology
In-Office
Bangalore, Bengaluru Urban, Karnataka, IND
141 Employees
30K-90K Annually

Observe.AI Logo Observe.AI

Senior Data Engineer

Artificial Intelligence • Software
In-Office
Bengaluru, Karnataka, IND
253 Employees

Similar Companies Hiring

Legora Thumbnail
Artificial Intelligence • Legal Tech • Software
New York, New York
700 Employees
Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account