Data Engineer - I, DAVENGERS(Data Avengers)
Amazon · Bangalore, India · Business Intelligence
mid
Data Engineer
ic
· Posted May 16, 2026
Skills
About this role
Amazon is hiring a mid-level Data Engineer based in Bangalore, India. The posting calls out experience with Python, Scala, SQL, AWS.
- Role
- Data Engineer
- Function
- data engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Bangalore, India
- Department
- Business Intelligence
- Posted
- May 16, 2026
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Job description
from Amazon careersAs a data engineer are you looking for opportunity to be among software developers, machine learning scientists to build a data platform that not only caters to BI and reporting but also extends to machine learning applications?
As a data engineer in AEE, you will: - Design, implement and support an analytical data infrastructure serving both business intelligence and machine learning applications
- Managing AWS resources including EC2,Redshift,EMR-Spark etc
- Collaborate with applied scientist to integrate and build data pipeline as necessary for building and training machine learning models in AEE
- Collaborate with Product Managers, Financial and Business analysts to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies
- Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
- Collaborate with other tech teams to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis, prediction, clustering and machine learning
- Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
As a data engineer in AEE, you will: - Design, implement and support an analytical data infrastructure serving both business intelligence and machine learning applications
- Managing AWS resources including EC2,Redshift,EMR-Spark etc
- Collaborate with applied scientist to integrate and build data pipeline as necessary for building and training machine learning models in AEE
- Collaborate with Product Managers, Financial and Business analysts to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies
- Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
- Collaborate with other tech teams to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis, prediction, clustering and machine learning
- Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
Basic Qualifications
This is an excerpt. Read the full job description on Amazon careers →