Do you enjoy diving deep into data, developing real-time and batch pipelines
that generate actionable insights?
The DSP Analytics team has an exciting opportunity for a Data Engineer to make
impactful contributions to Amazon's Delivery Service Partner (DSP) program
tackling modern data challenges by combining traditional engineering practices
with transformative analytics and Generative AI.

You'll help design and build the next generation of data infrastructure powering
GenAI applications, and develop agents that automate the end-to-end data
operations lifecycle. We are a team of Data Engineers working closely with Data
Scientists, Economists, and Analysts turning machine learning and AI research
into scalable products that delight customers worldwide.

You're passionate about technology, strongly biased toward going deep to find
insights, and driven to build scalable analytical platforms. You're relentless
about quality and reliability, and comfortable communicating across different
levels of leadership. If that sounds like you, we'd love to talk.

Key job responsibilities




• Lead and design complex data architectures, ensuring scalability, security,
and alignment with business objectives
• Drive implementation of large-scale data pipelines and ETL processes using AWS
technologies
• Identify and resolve system-wide data challenges, including performance
bottlenecks and architectural deficiencies
• Establish data engineering best practices, including governance, security
standards, and operational excellence
• Ensure data solutions are auditable, accessible, and maintainable across the
organization
• Collaborate with cross-functional teams to deliver cutting-edge data solutions

About the team
We are the Amazon DSP Analytics team, supporting all business pillars across the
DSP organization horizontally, with the vision to enable data-, insights-, and
science-driven decision-making. We are an exceptionally talented and fun-loving
team. Here, you'll have the opportunity

📌 Data Engineer II, DSP Analytics (Hyderabad)
🏢 Amazon
📍 Hyderabad