Data Engineer
Amazon
- Seattle, Washington, United States
- Seattle, Washington, United States
Über
Responsibilities
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
Basic Qualifications
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
Preferred Qualifications
Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, 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: 132,100.00 – 178,800.00 USD annually (Seattle, WA)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
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Sprachkenntnisse
- English
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