Amazon is Hiring Data Engineer I
RoW AIM TECH • Hyderabad, Telangana
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Job Overview
Amazon's Supply Chain Optimization Technologies (SCOT) organization is hiring a Data Engineer I for its Automated Inventory Management Team in Hyderabad. The role involves building scalable data and software solutions supporting inventory planning for millions of items.
The position focuses on data engineering, big-data processing, distributed systems, AWS technologies, ETL pipelines, and data modeling, while working with engineers and researchers across multiple teams.
Key Responsibilities
- Design, develop, test, troubleshoot, debug, and deploy large-scale distributed systems.
- Build and maintain real-time and management systems for supply chain operations.
- Apply Java, Scala, object-oriented design patterns, and NoSQL databases.
- Develop data models and scalable big-data processing solutions.
- Build PB-scale data solutions using AWS technologies.
- Gather and analyze business and functional requirements and translate them into technical design specifications.
- Contribute across the complete software development lifecycle.
- Create and maintain comprehensive technical documentation.
- Collaborate with Senior and Principal Engineers, Researchers, and Data Engineers in an Agile environment.
Skills & Technologies
Data Engineering
AWS Cloud
Programming & Visualization
Eligibility
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Experience Requirement: 1+ years of data engineering experience.
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Qualification: Not specified in the provided job description.
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Core Tech Skills: Experience with data modeling, data warehousing, and ETL pipelines. Experience with at least one scripting language such as Python or KornShell.
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Cloud & Big Data Exposure: Experience with AWS technologies including Redshift, S3, Glue, EMR, Kinesis, Firehose, Lambda, and IAM. Big-data experience with Hadoop, Hive, Spark, or EMR is preferred.
How to Apply
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Visit Amazon Portal
You will be securely redirected to the official careers portal. Search for Job ID 10541268 if required.
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Ensure your resume highlights your AWS (Redshift/Glue), ETL, and Data Engineering fundamentals before submitting.
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