Data Engineer I

Description

Are you passionate about diving deep into data? The DSP Analytics team at Amazon Robotics offers an exciting opportunity as a Data Engineer within the Hyderabad / Secunderabad location. You will make impactful contributions to Amazon's Delivery Service Partner (DSP) program by tackling modern data challenges through traditional engineering practices, transformative analytics, and Generative AI.

You'll help design and build the next generation of data infrastructure powering GenAI applications, developing agents that automate the end-to-end data operations lifecycle. As part of a talented team working closely with Data Scientists, Economists, and Analysts, you will turn machine learning and AI research into scalable products for customers worldwide.

Key Responsibilities:

• Design, build, and maintain robust data pipelines to acquire, process, and store data from various sources such as databases, APIs, and external providers.
• Develop and optimize ETL processes to clean, enrich, and structure raw data for analysis and reporting.
• Implement and manage data warehousing solutions ensuring efficient storage, retrieval, and query performance.
• Establish data quality standards, perform validation, and address issues proactively.
• Optimize pipelines and storage for large volumes while maintaining high reliability.
• Ensure data privacy and security through access controls and compliance with regulations.
• Collaborate cross-functionally to support stakeholder needs.
• Maintain comprehensive documentation for knowledge sharing.
• Implement monitoring solutions to detect failures or bottlenecks.

About The Team

We are the Amazon DSP Analytics team supporting all business pillars across the DSP organization horizontally. We aim to enable data-, insights-, and science-driven decision-making with a fun-loving culture focused on operational excellence.

Basic Qualifications:

• 1+ years of data engineering experience
• Experience with SQL and one or more query languages (e.g., SparkSQL, Scala)
• Proficiency in scripting languages like Python or KornShell

Preferred Qualifications:

• Big data technologies: Hadoop, Hive, Spark, EMR
• AWS experience: Redshift, S3, AWS Glue, Kinesis, Lambda
• Demonstrated experience leveraging generative AI tools to enhance workflow efficiency.