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Business Intelligence Engineer(AWS Quicksight) @ Qentelli

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 Business Intelligence Engineer(AWS Quicksight)

Job Description

Job Summary

We are looking for a skilled BI Engineer with strong hands-on experience in Amazon QuickSight to join our data & analytics team. The ideal candidate will be responsible for building scalable dashboards, managing AWS data integrations, and enabling data-driven decision-making across the organization.


Role and Responsibilities

  • Design, develop and maintain interactive dashboards, reports & data visualizations using Amazon QuickSight.
  • Connect QuickSight to AWS data sources such as S3, Athena, Redshift, RDS, Glue etc.
  • Build and maintain SPICE datasets, optimize refresh schedules and manage data performance.
  • Implement row-level security (RLS), access controls and IAM-based permissions in QuickSight.
  • Work closely with business stakeholders to gather requirements, define KPIs and deliver analytics solutions.
  • Write, optimize, and troubleshoot SQL queries for data transformation and reporting.
  • Collaborate with data engineering teams to improve data quality, data models and ETL workflows.
  • Ensure dashboards are visually appealing, accurate, and aligned with business needs.
  • Monitor dashboard usage, performance, cost optimization, and maintain documentation.

Required Skills & Qualifications

  • 7-13 years of experience in Business Intelligence / Data Analytics.
  • Strong hands-on experience with Amazon QuickSight (dashboard building, data modelling, SPICE datasets).
  • Expertise in SQL and working with large datasets.
  • Solid understanding of AWS data ecosystem S3, Redshift, Athena, Glue, Lambda (good to have).
  • Experience in data modelling, data warehousing concepts (star schema, snowflake schema).
  • Ability to work with cross-functional teams and translate business requirements into BI solutions.
  • Strong analytical mindset and excellent communication skills.

Preferred Skills

  • Experience with other BI tools (Power BI, Tableau, Looker).
  • Knowledge of Python for data automation.
  • Experience with QuickSight embedding / API integration.
  • Familiarity with Agile/Scrum methodology.

Education

  • Bachelors/Masters degree in Engineering, Computer Science, IT, Statistics, or a related field.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Business Intelligence & Analytics
Role: BI Developer
Employement Type: Full time

Contact Details:

Company: Qentelli
Location(s): Hyderabad

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Keyskills:   Quicksight Glue AWS Athena

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Qentelli

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