Data Engineer II

Amazon; Bengaluru; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Amazon is hiring a Data Engineer to build AI-native data infrastructure powering real-time data processing, AI inference, and model training in Bengaluru. You will design semantic data layers, govern data products, and implement multi-agent orchestration on AWS.

Strong Python/SQL and IaC skills are required, with experience in SageMaker and Bedrock. The role focuses on data-as-a-product delivery, real-time streaming, and scalable AWS pipelines, offering opportunities to work across analytics,

Qualifications

• 5+ years in data engineering with cloud-native architectures.
• Strong AWS expertise (Redshift, S3, Glue, Kinesis, EMR).
• Proven experience with real-time streaming (Kafka, Kinesis, Flink).
• Hands-on AI/ML infrastructure experience (SageMaker, Bedrock).
• Proficiency in Python, SQL, and infrastructure-as-code.

Responsibilities

• AI-Native Infrastructure & Real-Time Processing: build real-time data processing infra for AI/ML inference and training.
• Data-as-a-Product Delivery: own end-to-end data products from ingestion to consumption.
• AWS Infrastructure & Pipeline Engineering: manage AWS resources and deploy infrastructure-as-code using CDK/Terraform.

Skills

Cloud-native architectures

Real-time data processing

Python

SQL

Infrastructure as code

CDK/Terraform

Kafka

Kinesis

Flink

SageMaker

Bedrock

Tools

AWS

Kafka

Kinesis

Flink

SageMaker

Bedrock

IAM roles

Job description

Description

FBA is seeking a Data Engineer to build AI-native data infrastructure that embeds intelligence as a foundational feature. If you enjoy innovating and want to contribute to an industry-changing business while building next-generation intelligent data platforms, this role is for you.

FBA is seeking a Data Engineer to build AI-native data infrastructure that embeds intelligence as a foundational feature. If you enjoy innovating and want to contribute to an industry-changing business while building next-generation intelligent data platforms, this role is for you.

Core Responsibilities

AI-Native Infrastructure & Real-Time Processing

• Engineer AI-native infrastructure supporting real-time data processing for AI/ML inference, training, and continuous learning
• Build semantic layers and knowledge graphs enabling intelligent query routing and context-aware data access
• Develop infrastructure for agentic AI systems with multi-agent orchestration
• Implement GenAI-powered data quality, entity resolution, and metadata management

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
• Establish data contracts and APIs for reliable, versioned data consumption

AWS Infrastructure & Pipeline Engineering

• Manage AWS resources: EC2, Lambda, S3, Redshift, Kinesis, EMR, SageMaker, Bedrock, Neptune
• Build high-quality pipelines supporting analysts, data scientists, and AI agents
• Implement CDC and event-driven architectures for real-time data availability
• Deploy infrastructure-as-code using CDK/Terraform

Required Qualifications

• 5+ years in data engineering with cloud-native architectures
• Strong AWS expertise (Redshift, S3, Glue, Kinesis, EMR)
• Proven experience with real-time streaming (Kafka, Kinesis, Flink)
• Hands-on AI/ML infrastructure experience (SageMaker, Bedrock)
• Proficiency in Python, SQL, and infrastructure-as-code

Preferred Qualifications

• Knowledge graphs (Neptune, Neo4j) and semantic layers
• GenAI applications and LLM integration patterns
• Vector databases and feature stores
• Data mesh and domain-oriented architecture

Build the foundational infrastructure powering next-generation AI-enabled data products at Amazon FBA.

Basic Qualifications

• 3+ years of data engineering experience
• 4+ years of SQL experience
• Experience with data modeling, warehousing and building ETL pipelines

Preferred Qualifications

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

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Company - ADCI - Karnataka