Senior Data Engineer - QuickSight

Location: IN KA Bengaluru

Time Type: Full time

Job Description

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