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Data Engineer, Prime Analytics & Data Science Team

Global technology company providing e-commerce, cloud computing, digital streaming, and artificial intelligence services.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI · Enterprise SaaS · E-Commerce

Description For Data Engineer, Prime Analytics & Data Science Team

Amazon Prime is seeking a talented Data Engineer to join their Prime Analytics & Data Science Team in Bengaluru, India. This role sits at the intersection of data engineering and business intelligence, supporting Amazon India's Prime organization through metrics, data models, and strategic analyses. The position offers an opportunity to work with cutting-edge technologies including AWS services, big data platforms, and machine learning frameworks.

The role involves collaborating with global site leaders, business analysts, software developers, and various stakeholders to create a coherent customer view. You'll be responsible for architecting and implementing data solutions that power Prime's analytics capabilities, from ETL pipelines to machine learning frameworks.

As a Data Engineer, you'll work in a fast-paced environment where you'll need to be comfortable with ambiguity while maintaining strong attention to detail. The position requires expertise in data modeling, warehousing, and ETL processes, along with proficiency in programming languages like Python, Java, or NodeJS. Experience with big data technologies such as Hadoop, Hive, and Spark is essential.

Amazon Prime is a flagship program offering members benefits including one-day delivery, video and music streaming, photo storage, and exclusive deals. This role presents an exciting opportunity to impact millions of Prime members while working with advanced technologies in a dynamic, customer-centric environment. The position offers professional growth within one of the world's leading technology companies, working on solutions that directly affect customer experience and business outcomes.

The ideal candidate will be a self-starter who can balance technical expertise with business acumen, capable of working across multiple teams while maintaining focus on delivering high-quality data solutions. This role offers the chance to shape the future of Prime's data architecture while working with a global team of talented professionals.

Last updated 2 days ago

Responsibilities For Data Engineer, Prime Analytics & Data Science Team

  • Define and lead the data strategy of various analytical products owned with Prime Analytics team
  • Develop and improve data architecture using AWS Redshift, AWS S3, AWS Aurora and Hadoop/EMR
  • Improve data ingestion models, ETL jobs, and alarming systems
  • Create ML framework for Data Scientists in AWS Bedrock, Sagemaker and EMR clusters
  • Design and manage data models for Weekly Business Reports
  • Stay up-to-date with advances in data persistence and big data technologies

Requirements For Data Engineer, Prime Analytics & Data Science Team

Python
Java
Node.js
  • 3+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Track record of manipulating, processing, and extracting value from large datasets
  • Experience in Python, Java, Scala, or NodeJS
  • Experience with big data technologies like Hadoop, Hive, Spark, EMR

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