Find a jobRecruiters

Data Engineer I, RoW AIM TECH

Exclusive opportunity

Onsite

Data Engineer I, RoW AIM TECH

Amazon

Data Engineer I, RoW AIM TECH

Skills

Big DataData EngineeringTableauPythonData VisualizationJavaAWS LambdaAmazon RedshiftScalaAWSAWS KinesisHadoopSupply Chain ManagementSupply Chain

1 month ago

Share this opportunity

Share this opportunity to other talents of your network:
✓ Offer them a visibility boost with clients.
✓ Help your contacts find their next job.

Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

16 September 2026

What they need


Description Supply Chain Optimization Technologies (SCOT) org is looking for Data Engineer to join the Automated Inventory Management Team. As a part of the program you will have the opportunity to work with complex algorithms, Distributed Computing Technology, Big-Data computing space to build highly scalable services handling thousands of requests per second that manage inventory plans for millions of items on Amazon.com. The objective of this program is to build and extend required SCOT systems to emerging markets. We are looking for a Data Engineer with a strong sense of ownership and a passion for delivering creative solutions for complex problems on an unprecedented scale.

Key job responsibilities

Design, develop, test, troubleshoot, debug, deploy, maintain, document and deliver large-scale, highly distributed, real-time and management systems that are core to effectively managing the supply chain business.

Use Java, Scala, object-oriented (OO) design patterns, NoSQL databases, and data modeling techniques.

Design PB scale big-data processing solutions leveraging latest AWS solutions.

Gather and analyze business and functional requirements, and translate business requirements into technical design specifications. o Serve as a key technical resource in the full development cycle.

Produce comprehensive, usable software documentation.

Recommend changes in development, maintenance and system standards.

Work with Senior and Principal Engineers, Researchers, and Data Engineers across multiple teams to design software solutions for optimizing supply chain management

Work in an agile development environment, where you are always working on the most important stuff.

Basic Qualifications

  • 1+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
  • Experience with one or more scripting language (e.g., Python, KornShell)

Preferred Qualifications

  • Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
  • Experience with data visualization software (e.g., AWS QuickSight or Tableau) or open-source project

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.

Company

  • ADCI HYD 13 SEZ

Job ID: A10541268

Other offers great for you!

These companies are also looking for great profiles

Visian

AI Data Engineering

Freelance

Paris, France

Hybrid

Top Recruiter

Skills

Data Engineering

6 days ago

Quick apply

Visian

Ingénieur Data Collect - Cybersécurité

Freelance

Paris, France

Hybrid

Skills

PythonKafkaAnsibleElastic StackLogstashKibana

4 days ago

Quick apply

Skill Now

Data Engineer Senior

55K

Permanent contract

Saint-Denis, France

Hybrid

Skills

Data EngineeringPythonApache SparkSQL/NoSQLAzure DatabricksCI/CD

2 days ago

Quick apply

The best place to find your next move

© 2026. All Rights Reserved.

Talents

Find a job

Create a profile

Solutions and tools