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Data Engineer, Shopping Foundation
Data Engineer, Shopping FoundationAmazon • Bengaluru, India
Data Engineer, Shopping Foundation

Data Engineer, Shopping Foundation

Amazon • Bengaluru, India
2 days ago
Job description

This job is with Amazon, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

DESCRIPTION :

Our organization builds the data foundations that power the future of online shopping. With ever expanding selection, and ambient computing looming on the horizon, our mission is to build a new shopping experience, beyond search & browse, helping busy customers easily find low-regret products that meet their in-the-moment need. You will have opportunity to closely work with teams who are building Agentic AI powered CX.

An ideal individual is someone who has knowledge of ETL, data modeling, database architecture and big data solutions. This individual should have excellent written and verbal communication skills.

Key job responsibilities

  • We're looking for an entry-level Data Engineer to implement data products and solutions that power our shopping platforms.
  • You will work with senior engineers for building data products that power mission critical analytical reports and metrics for Amazon AI products.
  • You'll develop data pipelines, implement data quality checks, and implement our engineering best practices.
  • You will be building building scalable data systems using latest AWS technologies while maintaining high standards of data quality and reliability.

A day in the life

This data engineer designs, builds, and maintains scalable data pipelines that transform raw information into reliable, high-quality datasets for analytics and machine learning. You will be participating in operational excellence mechanisms to ensure timely, trustworthy data delivery to our customers.

About the team

Our organization builds the data foundations that power the future of online shopping. With ever expanding selection, and ambient computing looming on the horizon, it's time to create a new shopping experience, beyond search & browse, helping busy customers easily find low-regret products that meet their in-the-moment need. It's time to leverage big data and machine learning to generate relevant and trustworthy recommendations for billions of shopping journeys through billions of products, and to make it easy and natural for customers to discover those recommendations. We are seeking the industry's best to help us create new ways to interact, search and shop.

BASIC QUALIFICATIONS :

  • 2+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with one or more query language (e.g., SQL, PL / SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
  • Experience with one or more scripting language (e.g., Python, KornShell)
  • Bachelor's degree in Computer Science, Computer Engineering, Information Management, Information Systems, or other related discipline
  • PREFERRED QUALIFICATIONS :

  • Experience with big data technologies such as : Hadoop, Hive, Spark, EMR
  • Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
  • Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
  • Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country / region you're applying in isn't listed, please contact your Recruiting Partner.

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