# Data Engineer I, CMT at Amazon

Amazon is hiring a Data Engineer I, CMT in Bengaluru, India. Level rates it Works on AI ●●●○; you can [apply on Amazon](https://jobsbylevel.com/go/114477e7-1d1d-4584-b62b-2e7092fc2889?utm_medium=ai-agent).

AI Level 3, AI centrality 65 out of 100. IN, KA, Bengaluru.

## Details

- Company: [Amazon](https://jobsbylevel.com/companies/amazon)
- AI level: AI Level 3 (score 65 out of 100)
- Location: IN, KA, Bengaluru
- Posted: August 12, 2026
- Apply: https://jobsbylevel.com/go/114477e7-1d1d-4584-b62b-2e7092fc2889?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=data-engineer-i-cmt-at-amazon-bf391b

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/data-engineer-i-cmt-at-amazon-bf391b

## Description

The Data Engineer I role within the Data Platform and Analytics team is a foundational technical position responsible for building and maintaining modern data infrastructure that powers business intelligence and advanced analytics at scale. This role focuses on engineering real-time data processing systems for AI/ML workloads, delivering data-as-a-product with clear SLAs, and managing AWS-native pipeline architectures. Working at the intersection of data engineering and AI systems, the Data Engineer I creates reliable, scalable infrastructure that enables intelligent data access, automated workflows, and advanced analytics — driving actionable insights for business stakeholders. Key job responsibilities Modern Data Infrastructure & Real-Time Processing • Engineer modern data infrastructure supporting real-time data processing for AI/ML inference and training workloads • Build semantic layers enabling intelligent query routing and context-aware data access • Develop infrastructure for AI-powered automated workflows and orchestration • Implement AI-driven data quality, entity resolution, and metadata management solutions Data-as-a-Product Delivery • Own end-to-end accountability for data products from ingestion to consumption • Deliver data products with clear SLAs, quality metrics, and customer satisfaction measures • Build self-service platforms with embedded governance, lineage, and discovery capabilities • Establish data contracts and APIs for reliable, versioned data consumption AWS Infrastructure & Pipeline Engineering • Manage AWS resources including EC2, Lambda, S3, Redshift, and EMR • Build high-quality data pipelines supporting analysts, data scientists, and downstream consumers • Implement CDC and event-driven architectures for real-time data availability • Deploy infrastructure-as-code using CDK Basic qualifications - 1+ years of data engineering experience - Experience with SQL - Experience with data modeling, warehousing and building ETL pipelines - Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) - Experience with one or more scripting language (e.g., Python, KornShell) - Bachelor's degree Preferred qualifications - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Source: https://jobsbylevel.com/jobs/data-engineer-i-cmt-at-amazon-bf391b

## Cite this page

Level. https://jobsbylevel.com/jobs/data-engineer-i-cmt-at-amazon-bf391b.

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