Data Engineer, ARTS Data Engineering Team

DESCRIPTION: Amazon ARTS (APEX-RoW Technology Solutions) team is seeking for a contractor Data Engineer of deep expertise in creation and management of datasets. The role is responsible to build data analytical solutions that will address increasingly complex business questions, as an expert at implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports; working on developing solutions that provide some of the unique challenges of space, size and speed; implementing data analytics using cutting edge analytics patterns and technologies that are inclusive of but not limited to various AWS Offerings –Redshift, S3 and RDS.; working with partner teams to create dashboards for our customers. <br><br>Key job responsibilities<br>1. Migrate ETL jobs/tables across clusters and validate the data<br>2. Monitor and optimize the Redshift cluster health<br>3. Build data pipelines based on AWS Services and Amazon data infra<br>4. Support analytics team on ETL performance troubleshooting and optimization<br><br>A day in the life<br>As a Data Engineer I in ARTS team of this role, the stakeholders are from Australia Ops teams. 40% of the time will support data migration, performance monitor and other tech support, 30% will focus on developing the data pipelines, and 30% will monitor the infra health and support adhoc requirements <br><br>About the team<br>ARTS (APEX-Row Technology Solutions) is an engineering team in RoW(the rest of world) Operations. we are responsible for creating core analytics tech capabilities and data engineering. It comprises of platforms development, research science, and data engineering. We develop scalable analytics applications and research modeling to optimize operation processes. 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) PREFERRED QUALIFICATIONS:
• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR<br>- Experience building data pipelines or automated ETL processes<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.