Data Engineer Amazon India Limited
Job Title : Data Engineering Ecs and Analytics Business Intelligence Engineer
Company Name: Amazon India Limited
Sector : IT
Organization Type : Private
Functional Role : Experience
Post Date: 03/12/2025
Job Description
The Data Engineering and Analytics BI Engineer at Amazon is a technical expert who will drive data-driven decisions by building scalable data pipelines, designing analytics solutions, and creating business intelligence reports. You will work closely with cross-functional teams to gather business requirements, design data systems, and deliver key insights for the business.
Required Qualifications
Minimum Qualification Required: B.E/B.Tech in CSE, BSC, BCA, MCA.
Age Preference
Minimum Age: 25 Years
Maximum Age: 32 Years
Required Information
Experience Required : 3+ years
Job Location: IND, KA, Bangalore
Salary : Competitive, with packages ranging from ₹14 LPA to ₹20 LPA.
Gender Preferences: Male/Female Both
Salary/Wage Type: Monthly
Category: GEN,OBC,OTH,SC,ST
Job Type: Full Time
Key Responsibility
• Defining, developing and maintaining critical business and operational metrics reviewed on a weekly, monthly, quarterly, and annual basis.
• Analysis of historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations.
• Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of reports.
• Identifying data needs and driving data quality improvement projects.
• Thought leadership on data mining and analysis. Understanding the broad range of Amazon’s data resources, which to use, how, and when. Mining and manipulating data from database tables, simulation results, and log files.
Basic Qualifications
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
Preferred Qualifications
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Event Timeline
Apply Link: Click here
If you’d like to discuss your accommodation options, please contact your recruiter, who will partner you with the Applicant-Candidate Accommodation Team (ACAT).
You may also contact ACAT directly by emailing india-acat@amazon.com. The team is available Monday through Friday from 9 a.m. to 6 p.m. IST.
