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Data Engineer I

Global technology company specializing in e-commerce, cloud computing, digital streaming, and artificial intelligence.
Data
Entry-Level Software Engineer
In-Person
5,000+ Employees
1+ year of experience
Enterprise SaaS

Job Description

Join Amazon's Paragon team as a Data Engineer I, working on a case management system used by 180+ business teams within Stores. You'll be part of building and maintaining a sophisticated data infrastructure that powers customer communications and interactions. The role involves designing and implementing automation, managing large-scale data systems, and ensuring data consistency and compliance.

As a Data Engineer, you'll work with cutting-edge AWS technologies and big data tools, contributing to all aspects of the data engineering lifecycle. The position offers exposure to enterprise-scale data challenges, working alongside accomplished engineers in a collaborative environment. You'll be responsible for building scalable solutions, enabling efficient data exploration, and implementing data access control mechanisms.

The ideal candidate should have experience with data modeling, ETL pipelines, and programming languages like Python and SQL. Knowledge of big data technologies such as Hadoop, Hive, and Spark is a plus. This role offers an excellent opportunity to grow your career at one of the world's leading technology companies while working on systems that impact millions of customers.

Amazon offers a comprehensive benefits package and a culture driven by innovation and customer obsession. You'll be part of a team that values technical excellence, operational efficiency, and continuous learning. The role provides significant opportunities for professional growth while working on challenging problems at scale.

Last updated 2 days ago

Responsibilities For Data Engineer I

  • Design/implement automation and manage data infrastructure for case management analytics
  • Build solutions to achieve BAA standards for system efficiency and data management
  • Enable efficient data exploration and experimentation of large datasets
  • Design and implement scalable and cost effective data infrastructure
  • Extract, transform, and load data from various sources using SQL and AWS technologies
  • Drive operational excellence and build automation mechanisms
  • Interface with other technology teams
  • Work closely with peers in a collaborative environment

Requirements For Data Engineer I

Python
  • 1+ 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)

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