Job Information
Amazon Data Engineer II in Bengaluru, India
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.
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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