Data Engineer II, DSP Analytics

Amazon; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Amazon DSP Analytics is seeking a Data Engineer to design and build scalable data infrastructure powering GenAI applications within the DSP program. You will work on real-time and batch pipelines, contributing to end-to-end data operations and collaborating with data scientists, economists, and analysts to turn research into scalable products.

The role emphasizes deep data analysis, reliability, and cross-functional collaboration, with opportunities to impact customer experiences globally.

Qualifications

• 3+ years of data engineering experience.
• Experience with data modeling, warehousing and building ETL pipelines.
• Bachelor's degree in Computer Science, Engineering, or related fields.
• Experience programming with Python, Java, or other modern languages.
• 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.

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 innovative data solutions.

Skills

Data pipeline development

Data modeling

ETL processes

Programming languages

Data analysis

Education

Bachelor's degree in CS or related field

Tools

AWS

Redshift

Job description

Description

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 innovative 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 to dive deep into complex business and data problems, drive large-scale technical solutions, and raise the bar for operational excellence. We love sharing ideas and learning from each other, and we believe in using those ideas to disrupt the status quo.

Basic Qualifications

• 3+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Bachelor's degree in Computer Science, Engineering, or related fields
• Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
• 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience

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)

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