- Experience
- 1+ years
- Pay
- Not disclosed
- Education
- Not specified
- Location
- Bengaluru, Karnataka, India
- Work mode
- On-site
- Job type
- Full-time
About this role
Amazon’s Data Insights, Metrics & Reporting team builds data engineering and reporting infrastructure for Amazon Warehousing & Distribution. This Data Engineer I role designs data ingress flows, models large datasets, implements ETL pipelines and supports GenAI-powered use cases.
What you will do
- Work with SDE teams and stakeholders to understand data requirements and design data ingress
- Lead design, model and implementation of large structured, semi-structured and unstructured datasets
- Evaluate and implement efficient distributed storage and query techniques
- Extract, transform and load data from varied sources
- Implement robust maintainable code with clear documentation
- Implement test automation via unit and integration testing
- Work with a mix of AWS services and legacy ETL tools
What the employer expects
- 1+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query languages (SQL, HiveQL, SparkSQL etc.)
- Experience with one or more scripting languages (Python etc.)
Skills
- SQL
- data modeling
- ETL
- Python
- Hive
- Spark
- Hadoop
- EMR
Apply on the employer's site
The application opens on Amazon.jobs. Dev Portal Notes does not collect your application or charge a fee.
Know someone who fits this role?
Applications are handled on the employer's own site.
Prepare for this role
Close the skill gap
Udemy
The Python Mega Course
Python taught by building real applications, from scripting through web apps and data work.
Get the coursePluralsight
Library of tech courses
Explore expert-led courses on programming, DevOps, AI and more with Pluralsight's monthly plan.
Browse coursesSome links on this page may generate a small commission at no extra cost to you.