Data Engineer

Job :  | Amazon Web Services, Inc. Overview

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world‑class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission‑critical applications on top of AWS services.

• Design, implement, and support a platform providing ad‑hoc access to large datasets
• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL
• Build robust and scalable data integration (ETL) pipelines using SQL, Python, and AWS services such as Data Pipelines, Glue
• Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL/Redshift
• Interface with business customers, gathering requirements and delivering complete reporting solutions
• Build and deliver high‑quality datasets to support business analyst and customer reporting needs
• Continually improve ongoing reporting and analysis processes, automating or simplifying self‑service support for customers

• Bachelor's degree
• 3+ years of data engineering experience
• 2+ years of developing and operating large‑scale data structures for business intelligence analytics (using ETL/ELT processes) experience

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, Fire Hose, Lambda, and IAM roles and permissions
• Experience with non‑relational databases/data stores (object storage, document or key‑value stores, graph databases, column‑family databases)

Location:

Seattle, WA / Austin, TX / New York, NY / Herndon, VA

Salary Range:  –  USD annually (Seattle, WA)

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