Data Engineer, Shipping

Position: Data Engineer, Amazon Shipping

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Description

Amazon’s global fulfillment network enables any merchant to ship items that are ordered on Amazon to any place on earth. There is a complex network of ways in which items move between vendor locations, Amazon warehouses, and customer locations as well as several intermediate locations through which packages travel before reaching the customer. With a scale of millions of packages, each with different attributes and delivery requirements, what results is a highly dense graph of nodes.

Description

Amazon’s global fulfillment network enables any merchant to ship items that are ordered on Amazon to any place on earth. There is a complex network of ways in which items move between vendor locations, Amazon warehouses, and customer locations as well as several intermediate locations through which packages travel before reaching the customer. With a scale of millions of packages, each with different attributes and delivery requirements, what results is a highly dense graph of nodes.

We have built a highly respected BI and Data Engineering team which is focused on solving complex problems in worldwide transportation using workflows, optimization algorithms, and machine learning systems. These are large-scale distributed systems handling millions of packages being shipped through the Amazon logistics network.

As a Data Engineer, you will develop data pipelines, datasets, manage data infrastructures, build automated BI services to support strategic planning within Amazon Shipping.

Key job responsibilities

Own the design, development, and maintenance of last mile data sets

Manipulate/mine data from database tables (MySQL, SQL server, Oracle, Data Warehouse, FC log files)

Conduct deep dive investigations into issues related to incorrect and missing data

Identify and adopt best practices in developing data pipelines and tables: data integrity, test design, build, validation, and documentation.

Continually improve ongoing reporting and data processes in AMZL

Work with in-house scientists, global supply chain, transportation and logistics teams, and software teams to identify new features and projects.

Identify ways to automate analysis through smarter software systems.

This is an individual contributor role that will partner with internal stakeholders across multiple teams, gathering requirements and delivering complete solutions

Basic Qualifications

• 1+ years of data engineering experience
• 2+ years of analyzing and interpreting data with Redshift, Oracle, No
  
  SQL etc. experience
• Bachelor's degree in a quantitative/technical field such as computer science, engineering, statistics
• Knowledge of distributed systems as it pertains to data storage and computing
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, Spark
  
  SQL, Scala)
• Experience with one or more scripting language (e.g., Python, Korn Shell)

Preferred Qualifications

• Experience with big data technologies such as:
  Hadoop, Hive, Spark, EMR
• Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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 (Use the "Apply for this Job" box below). for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $91,200/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company.

Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit  This position will remain posted until filled. Applicants should apply via our internal or external career site.

Company -  Services LLC

Job : A2996787

Seniority level

• Seniority level
  
  Not Applicable

Employment type

• Employment type
  
  Full-time

Job function

• Job function
  
  Quality Assurance, Information Technology, and Engineering
• Industries Software Development

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