As a Data Engineer II on the Data Engineering team, you will own and drive the design of scalable data systems that power Amazon's pricing and catalog optimization. You'll lead technical initiatives at the intersection of data engineering and AI, architecting solutions that process large-scale data across Amazon's global operations. You'll mentor junior engineers, influence technical direction, and deliver high-impact data products with measurable business outcomes.

AI-Native Infrastructure & Real-Time Processing

Design and architect AI-native infrastructure supporting real-time data processing for AI/ML inference, training, and continuous learning at scale

Lead the development of semantic layers and knowledge graphs enabling intelligent query routing and context-aware data access across the organization

Architect infrastructure for agentic AI systems with multi-agent orchestration, defining patterns and best practices for the team

Drive GenAI-powered data quality, entity resolution, and metadata management strategies that raise the bar for data integrity

Data-as-a-Product Delivery

Own end-to-end accountability for complex data products from ingestion to consumption, defining SLAs and driving adoption across stakeholders

Lead the delivery of data products with measurable quality metrics, customer satisfaction targets, and continuous improvement mechanisms

Design and build self-service platforms with embedded governance, lineage, and discovery — enabling teams to independently access and trust data





Define data contracts and API standards for reliable, versioned data consumption across downstream consumers

AWS Infrastructure & Pipeline Engineering

Architect and optimize AWS infrastructure: EC2, Lambda, S3, Redshift, EMR — balancing performance, reliability, and cost

Design high-throughput, fault-tolerant pipelines supporting analysts, data scientists, and AI agents at global scale

Lead implementation of CDC and event-driven architectures for sub-minute data availability with end-to-end observability

Drive infrastructure-as-code best practices using CDK, establishing reusable patterns and deployment standards

Mentor Data Engineer I team members, conducting code reviews and elevating engineering standards

Own operational health of critical pipelines, driving root cause analysis and long-term prevention strategies

3+ years of data engineering experience

Experience with data modeling, warehousing and building ETL pipelines

Experience with SQL

Bachelor's degree

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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📌 Data Engineering - Aws (Bengaluru)
🏢 Amazon Filters
📍 Bengaluru