Hoskote Karnataka Amazon warehouse Jobs – 135 Open Jobs Today

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Senior Data Engineer, Shopping Foundation

ADCI - Karnataka -
Bengaluru, Karnataka

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Job details

Full-time

Qualifications

BCS
Statistics
Data modelling
Node.js
Law
Computer Science
Big data
Spark
Apache Hive
Java
Master's degree
SQL
Bachelor's degree
Distributed systems
Scala
Scripting
ETL
AI
Python
Hadoop

Full job description

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.

You will be responsible for building observability framework and telemetry for next generation of CX powered by LLM's at enterprise scale. As a senior engineer, you'll be a technical leader responsible for architectural decisions and mentoring that shape both our data platforms and team members.

Key job responsibilities

We're seeking a Senior Data Engineer to lead the technical strategy and architecture of our data products and infrastructure.
You'll define and drive the technical vision, mentor engineers across multiple levels, and drive innovation in how we process, store, and utilize data across the shopping organization.
You will lead redefining analytics in the age of agentic experiences and Generative BI.
You'll own build data systems that can scale to PB and streaming data with 100K TPS
You will be responsible for building data products that power mission critical analytical reports and metrics for Amazon AI products that are viewed at the highest levels in the organization.
You will get the exciting opportunity to work on very large data sets in one of the world's largest and most complex data warehouse environments.
You will work closely with the business and technical teams in analysis on many non-standard and unique business problems and use creative-problem solving to deliver actionable output.
You should have deep expertise in the design, creation, management, and business use of extremely large datasets.
You will utilize Agentic AI to build data products and solutions

A day in the life
You will be driving architecture decisions on scaling LLM data applications, accelerating the data product release cadence and reducing cost to serve, leveraging AI innovations on data products and systems, design discussion with engineering teams for instrumentation and collaborating with with other internal teams to integrate your data products with theirs.

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

7+ years of data engineering experience
Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
Experience with data modeling, warehousing and building ETL pipelines
Experience with SQL
Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

PREFERRED QUALIFICATIONS

Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
Knowledge of large scale distributed systems (e.g., Spark, Hadoop)
Experience with AI/ML technologies

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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