Data Engineer I, CMT

Amazon; Karnataka; On-site; INR 800,000 - 1,500,000; Full time

Job summary

Amazon in India seeks a Data Engineer I to design and maintain real-time data infrastructure powering BI and analytics. You will build data products with clear SLAs and governance, enabling reliable, self-serve data access for analysts, data scientists, and downstream users.

The role focuses on AI/ML workloads, CDC event-driven architectures, and CI/CD for data pipelines using AWS tools like S3, Redshift, and EMR. A Bachelor's degree and 1+ years of experience are expected.

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 languages (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
• Experience with one or more scripting languages (e.g., Python, KornShell)
• Bachelor's degree

Responsibilities

• Engineer modern data infrastructure supporting real-time data processing for AI/ML workloads
• Own end-to-end accountability for data products from ingestion to consumption
• Build self-service platforms with governance, lineage, and discovery capabilities
• Establish data contracts and APIs for reliable, versioned data consumption
• Manage AWS resources including EC2, Lambda, S3, Redshift, and EMR

Skills

SQL

Data modeling

ETL pipelines

Python

HiveQL

SparkSQL

Scala

AWS

CDK

Data warehousing

Education

Bachelor's degree

Tools

AWS EC2

AWS Lambda

S3

Redshift

EMR

CDK

Job 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.

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