Data Engineer II, CMT

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-driv BASIC QUALIFICATIONS - 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with SQL - Bachelor's degree 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)

Amazon is a global technology company operating in e-commerce, cloud computing (AWS), digital streaming, advertising and artificial intelligence. Its India operations span development centres in Bengaluru, Hyderabad, Chennai, Pune, Gurugram and Mumbai, covering retail technology, AWS infrastructure, Alexa, advertising, payments and supply-chain systems.