Business Intelligence Engineer, II, Amazon FinAuto - GREF Tech
The GREF Technology team at Amazon is seeking a Business Intelligence Engineer to build scalable analytics solutions for global real estate operations. You will design complex BI architectures, create interactive dashboards, and apply advanced statistical and machine learning techniques to drive business insights. The role requires strong experience with SQL, data modeling, ETL, and visualization tools like QuickSight. You will collaborate cross-functionally to influence strategic decisions at a global scale.
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Experience
5+ years
Function
Engineering
Work mode
Onsite, India
Company
Tier 1
What you will work on
The GREF Technology team at Amazon is seeking a Business Intelligence Engineer to build scalable analytics solutions for global real estate operations. You will design complex BI architectures, create interactive dashboards, and apply advanced statistical and machine learning techniques to drive business insights. The role requires strong experience with SQL, data modeling, ETL, and visualization tools like QuickSight. You will collaborate cross-functionally to influence strategic decisions at a global scale.
TAL's take
Role is at a Tier-1 company within a major tech hub, offering significant ownership over global real estate data infrastructure.
The JD clearly outlines the responsibilities, required stack, and team context for a business intelligence engineer role.
Salaries at Amazon
25.8 LPA average
Based on 3,341 Grapevine salary entries for Amazon.
Engineering
0 - 2 years | L3
16 LPA average
Range: 2 - 32 LPA
Engineering
2 - 4 years | L4
26 LPA average
Range: 0 - 100 LPA
Engineering
4 - 6 years | L5
33 LPA average
Range: 2 - 66 LPA
Engineering
6 - 8 years | L4
43 LPA average
Range: 5 - 91 LPA
Must haves
- 5+ years of experience analyzing data with Redshift, Oracle, or NoSQL
- 3+ years of experience with Tableau or QuickSight
- Experience with data modeling, warehousing, and ETL pipelines
- Bachelor's degree in a quantitative field
- Proficiency in SQL and Python
- Experience with statistical analysis packages such as R, SAS, or Matlab
Tools and skills
Nice to have: aws ec2, dynamodb, s3.
About the company
Amazon is a global FAANG company with a strong engineering brand.
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