Data Engineer II, JWO Data Services [Just Walk Out Platform Data Engineer] [1.10]

Amazon Dev Center India (ADCI) is seeking a highly technical, logic-driven Data Engineer II, JWO Data Services to join our AWS Applied AI Solutions division in Bengaluru, Karnataka . Operating at the core of the revolutionary checkout-free Just Walk Out (JWO) shopping ecosystem, this mid-to-senior backend data tier owns the architectural design, modeling choices, and processing infrastructure required to transform intense streams of computer vision, sensor fusion, and machine learning signals into real-time transactional accuracy .

Key Responsibilities & Scope of Work

• Distributed Pipeline Engineering: Build, manage, and scale reliable distributed pipelines optimized for narrow latency limits and absolute tracking precision .
• Requirements Translation & PoCs: Map out complex business and functional requirements into working data schemas, building quick technical prototypes and proofs of concept .
• Advanced Data Modeling: Design and manage multi-dimensional warehouse environments capable of tracking unstructured shopping patterns across global retail sites .
• Cross-Functional Tech Interlock: Act as an essential technical link coordinating across machine learning scientists, physical hardware teams, and core software developers to solve ambiguous data bugs .
• Engineering Bench Mentorship: Act as an engineering coach for junior team members, setting the tone for code standards, pipeline documentation, and architectural excellence .

Required Qualifications & Technical Stack

• Data Domain Experience: Minimum of 3 years of verified, non-internship professional history explicitly spent steering data engineering or storage specialties .
• Data Systems Toolkit: Demonstrated practical grounding mapping structural data models, managing cloud data warehouses, and building production-grade ETL pipelines .
• Preferred AWS Technical Value-Adds: Hands-on experience scaling data architectures over native AWS tools including Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, and Lambda .
• NoSQL Storage Literacy: Functional familiarity manipulating non-relational database structures (including key-value stores, graph databases, or column-family engines) .
• Core Soft Skills: Outstanding verbal and written technical communication attributes, great comfort with high levels of ambiguity, and a relentless focus on customer-centric design .