Amazon Data Engineer I, CMT

Job Overview

Amazon is hiring a Data Engineer I in Bengaluru for the Data Platform and Analytics team. The role builds modern data infrastructure, real-time processing systems, AWS-native pipelines and governed data products that support analytics and AI/ML workloads.

Eligibility

Bachelor's degree plus 1+ years of data engineering experience. Amazon lists SQL, data modeling, data warehousing, ETL pipeline development, a query language such as SQL or SparkSQL, and a scripting language such as Python as basic qualifications.

Skills Mentioned

Key Responsibilities

• 1Build modern data infrastructure for real-time analytics and AI/ML workloads
• 2Develop reliable data pipelines for analysts, data scientists and downstream consumers
• 3Manage AWS resources such as S3, Redshift, EMR, Lambda and EC2
• 4Implement data quality, metadata and governance capabilities
• 5Support event-driven and change-data-capture architectures
• 6Deliver data products with clear reliability and quality expectations

Who Should Apply?

Candidates with a bachelor's degree and at least one year of data engineering experience who have worked with SQL, ETL and scripting are aligned with the basic qualifications.

Quick eligibility check

Eligibility at a Glance

These values come from the verified job record. Re-check the employer page before applying because requirements can change.

Role breakdown

What This Role Involves

The official listing is for Data Engineer I at Amazon in Bengaluru, Karnataka. Based on the published information, the main areas to review include SQL, Data modeling and warehousing, ETL pipelines, Python or another scripting language.

• Build modern data infrastructure for real-time analytics and AI/ML workloads
• Develop reliable data pipelines for analysts, data scientists and downstream consumers
• Manage AWS resources such as S3, Redshift, EMR, Lambda and EC2

Employer information

About Amazon on This Listing

Amazon is the employer named on the official source used for this job. HD Careers verified this listing against amazon.jobs. This section only shows facts available from the verified job record.

Resume & interview focus

Skills to Demonstrate

Use these as evidence prompts, not as keywords to add without real experience.

• SQL

  This skill is mentioned for the role. If you include it on your resume, connect it to a real work, internship or project example you can explain.

• Data modeling and warehousing

  This skill is mentioned for the role. If you include it on your resume, connect it to a real work, internship or project example you can explain.

• ETL pipelines

  This skill is mentioned for the role. If you include it on your resume, connect it to a real work, internship or project example you can explain.

• Python or another scripting language

  This skill is mentioned for the role. If you include it on your resume, connect it to a real work, internship or project example you can explain.

• AWS data services

  This skill is mentioned for the role. If you include it on your resume, connect it to a real work, internship or project example you can explain.

• Big data technologies

  This skill is mentioned for the role. If you include it on your resume, connect it to a real work, internship or project example you can explain.

Preparation

Before You Apply

• 1Review your hands-on examples for SQL, Data modeling and warehousing, ETL pipelines.
• 2Prepare one clear example related to this responsibility: Build modern data infrastructure for real-time analytics and AI/ML workloads.
• 3Keep your employment dates, degree details and contact information consistent across your resume and the employer application form.
• 4Use the official employer page as the final source if any requirement, deadline or application step changes.

Common questions

Job FAQ

HD Careers original resources

Useful Before You Apply

Source & Verification

Source: Official Amazon Jobs page

Last checked by HD Careers: 29 Sep 2026

Job information can change after publication. The employer's official page is the final source for eligibility, deadlines and application availability.

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