Data Engineer

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform, pioneering cloud computing and delivering innovative solutions.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS · AI

Description For Data Engineer

AWS Infrastructure Services is responsible for the design, planning, delivery, and operation of all AWS global infrastructure. The team supports all AWS data centers and the servers, storage, networking, power, and cooling equipment that ensure customers have continuous access to AWS services. As a Data Engineer in the AWS Infrastructure Supply Chain (AIS-SC) organization, you will be part of a team delivering innovative solutions to source, build and maintain socially responsible data center supply chains. You'll work with Business Intelligence Engineers, Data Engineers, and Data Scientists to architect data ingestion from multiple internal processes, tools, and systems into a unified data architecture using AWS Cloud technologies. The role involves using cutting-edge tools including Amazon Redshift, EC2, Lambda, DynamoDB, and Elastic Search to build augmented analytical solutions that drive business outcomes. You'll collaborate with business leaders, work backwards from customers, identify problems, propose innovative solutions, and have a significant impact on AWS Infrastructure Supply Chain Organization. The position offers opportunities for mentorship, career growth, and working in an inclusive team culture that values diverse experiences and perspectives.

Last updated 6 minutes ago

Responsibilities For Data Engineer

  • Design and develop dimensional data models to support Data Warehouse Architecture
  • Build and improve Data Warehouse/Data Mart solutions
  • Develop functional databases, applications, and servers
  • Write effective APIs
  • Perform detailed source-system analysis and data transformation
  • Design and build data mappings from multiple source systems
  • Participate in full ETL development cycle
  • Evolve the Data Warehouse environment within the organization

Requirements For Data Engineer

Python
MongoDB
PostgreSQL
  • Bachelor's in Computer Science or related field
  • Expertise with SQL and NoSQL databases
  • Expertise in Python/R
  • Experience with DevOps tools like Docker, Kubernetes
  • Experience with distributed version control such as Git
  • Basic knowledge of Linux environments

Benefits For Data Engineer

  • Work-Life Balance

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