2 days ago
Bengaluru, IndiaMid Level
Responsibilities
- Design and build scalable data processing systems that integrate datasets from multiple sources and diverse data streams.
- Develop pipelines and frameworks for ingesting, processing, transforming, and enriching product data using AWS technologies.
- Build agentic pipelines for Selection Monitoring subsystems.
- Create observability and metrics systems to monitor system health, identify bottlenecks, and support data-backed decisions.
- Solve data integration, entity resolution, deduplication, and classification problems across heterogeneous sources.
- Design efficient storage solutions for large-scale write-heavy ingestion and read-heavy analytical workloads.
- Own end-to-end delivery from requirements gathering and design through implementation, testing, deployment, and operational support.
- Lead and mentor engineers while driving design, coding, testability, operational excellence, and security best practices.
Requirements
- At least 3 years of non-internship professional software development experience.
- At least 2 years of non-internship experience designing or architecting new and existing systems, including design patterns, reliability, and scaling.
- Experience programming in at least one software programming language.
- Bachelor's degree or equivalent.
- Preferred: at least 3 years of full software development lifecycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.
Tech Stack
Categories
Data Engineering
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.