Sr. AI Platform Data Engineer, Amazon Autos

Platform Development & AI Integration • Build and maintain efficient, scalable data pipelines and curated datasets optimized for AI/ML consumption • Implement systems for automated data classification to transform business problems into analytical solutions • Develop AI-native self-service data platforms using an AI-first methodology • Create AI-powered platforms with natural language interfaces for data access Stakeholder Engagement & Delivery • Serve as a technical partner to business stakeholders, data science teams, and cross-functional partners • Deliver well-modeled, discoverable data optimized for specific use cases • Design and build curated datasets using AI code generation and Agentic AI tools • Communicate insights and recommendations to product, business, and technology partners Technical Leadership • Architect and scale services based on program vision • Recommend optimal strategies for quantifiable business impact • Break down complex challenges into manageable projects • Make pragmatic decisions to reduce risk • Lead AI-augmented workshops for stakeholders Day-to-Day Activities • Design and build curated datasets using AI code generation tools • Build and maintain data pipelines using Amazon Web Services (AWS) and internal Amazon tools • Implement and enhance AI-powered self-service platforms • Create and maintain intelligent governance systems BASIC QUALIFICATIONS - 5+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with SQL - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS - Experience mentoring team members on best practices - 4+ years of data engineering experience PREFERRED QUALIFICATIONS - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience operating large data warehouses

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.