Data Engineer I, Intl. Seller Growth

DESCRIPTION: Come and be part of the International Seller Services (ISS) Central Analytics Data Engineering (DE) team and work on solving problems!<br><br>We are a team of DEs who support Applied Scientists, Data Scientist, and Economists who experiment, research, and turn machine/deep learning and AI research into great products for our customers.<br><br>ISS is seeking a smart, highly-motivated, and experienced Data Engineer to join our team. In this role, you'll help us create the right Data and ML infrastructure.<br>As a Data Engineer, you will provide technical leadership, lead data engineering initiatives and build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective.<br>You are passionate about working with huge datasets and have experience with the organization and curation of data for analytics. You have a strategic and long term view on architecting advanced data eco systems.<br>You are experienced in building efficient and scalable data services and have the ability to integrate data systems with AWS tools and services to support a variety of customer use cases/applications.<br><br>Key job responsibilities<br>As a Data Engineer, you will provide technical leadership, lead data engineering initiatives and build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective.<br>You are passionate about working with huge datasets and have experience with the organization and curation of data for analytics. You have a strategic and long term view on architecting advanced data eco systems.<br>You are experienced in building efficient and scalable data services and have the ability to integrate data systems with AWS tools and services to support a variety of customer use cases/applications.<br>Design, implement and operate large-scale, high-volume, high-performance data structures for analytics and data science.<br>Implement data ingestion routines using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and big data tools.<br>Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.<br>Collaborate with engineers to help adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation<br>Identify opportunities in existing data solutions for improvements BASIC QUALIFICATIONS:

• 1+ years of data engineering experience<br>- Experience with data modeling, warehousing and building ETL pipelines<br>- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)<br>- Experience with one or more scripting language (e.g., Python, KornShell)<br>- Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets PREFERRED QUALIFICATIONS:
• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR<br>- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.<br><br>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 <a href="https://amazon.jobs/content/en/how-we-hire/accommodations">https://amazon.jobs/content/en/how-we-hire/accommodations</a> for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.