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Data Engineer II

Own our AI-native data infrastructure to power real-time data products
Bengaluru, Karnataka, India
Mid-Level
22 hours agoBe an early applicant
Amazon

Amazon

Global e-commerce and cloud computing leader offering online retail, digital content, and scalable web services to consumers and businesses worldwide.

Data Engineer

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.

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Data Engineer II
Bengaluru, Karnataka, India
Engineering
About Amazon
Global e-commerce and cloud computing leader offering online retail, digital content, and scalable web services to consumers and businesses worldwide.