Data Engineer II, ISF Central Tech Team
Amazon · Bangalore, India · Software Development
mid
Data Engineer
ic
· Posted May 8, 2026
Skills
About this role
Amazon is hiring a mid-level Data Engineer based in Bangalore, India. The posting calls out experience with SQL, AWS, Serverless, Redshift.
- Role
- Data Engineer
- Function
- data engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Bangalore, India
- Department
- Software Development
- Posted
- May 8, 2026
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Job description
from Amazon careersThe International Stores Finance Central Engineering team is seeking a Data Engineer to build scalable data solutions that support a fast-growing and evolving business. This role focuses on designing and implementing data standardization frameworks and AI-enabled solutions that improve how data is delivered and used for day-to-day decision-making.
As a Data Engineer, you will own the design, development, and management of large-scale datasets and data pipelines. You will work closely with business stakeholders, engineers, and partner teams to define data models and build efficient data warehouse solutions for reporting and analytics. You will develop and maintain scalable ETL pipelines on AWS, integrate data from multiple sources, and automate manual processes. Strong SQL skills and a focus on performance optimization are essential to ensure reliable and high-quality data delivery.
- 4+ years of SQL experience
- Experience with data modeling, warehousing and building ETL pipelines
- 2+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience
As a Data Engineer, you will own the design, development, and management of large-scale datasets and data pipelines. You will work closely with business stakeholders, engineers, and partner teams to define data models and build efficient data warehouse solutions for reporting and analytics. You will develop and maintain scalable ETL pipelines on AWS, integrate data from multiple sources, and automate manual processes. Strong SQL skills and a focus on performance optimization are essential to ensure reliable and high-quality data delivery.
Basic Qualifications
- 3+ years of data engineering experience- 4+ years of SQL experience
- Experience with data modeling, warehousing and building ETL pipelines
- 2+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience
Preferred Qualifications
This is an excerpt. Read the full job description on Amazon careers →