Amazon.com Services LLC

Marketing PR, Data Engineering, Cloud Computing

DataEngineer

$119–206k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Data Engineer at Amazon.com Services LLC. Skills: Data engineering, ETL, Data modeling, SQL. Design, implement, and support a platform providing ad-hoc. Interface with other technology teams to extract, transform,”

Industry & Context.

Marketing PR, Data Engineering, Cloud Computing

What They're Looking For.

Must Have

3+ years of data engineering experience, 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes, 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling, 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL, Experience with data modeling, Experience with warehousing, Experience with building ETL pipelines

Nice to Have

Experience with AWS technologies, Experience with non-relational databases, Experience with object storage, Experience with document or key-value stores, Experience with graph databases, Experience with column-family databases

What You'll Do.

and support a platform providing ad-hoc

Interface with other technology teams to extract

Build robust and scalable data integration (ETL) pipelines

Implement data structures using best practices in data

Interface with business customers

gathering requirements and delivering

Build and deliver high quality datasets to support

Continually improve ongoing reporting and analysis processes

How You'll Work.

Communication Scope

Business communication

Full Job Description

Would you like to support increasing customer base and the revenue for AWS, a market-leading cloud offering? Would you like to be part of a team focused on increasing awareness and adoption of the AWS platform by analyzing customer's behavior on and outside AWS websites? Do you want to empower our AWS Marketing organization make data-driven decisions that further establish AWS as leader in the cloud computing world? As a Data Engineer at AWS, you will be working in a large, extremely complex and dynamic data warehousing environment. We are looking for someone with the uncanny ability to integrate multiple heterogeneous data sources with AWS Marketing Data Warehouse - Jarvis and build efficient, flexible, and scalable data warehouse and reporting solutions. You should be enthusiastic about learning new technologies and be able to implement solutions using these technologies to enable upgrades of the existing platform. You should have excellent business and communication skills and be able to work with business owners to develop and define key business questions, then build the data sets that answer those questions. You should be expert at designing, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data warehouse and into end-user facing reporting applications. Above all you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive growth. At AWS, you have control over every layer you build. Instead of owning a small slice of an existing service, you will own a core segment of a growing marketing platform serving 1000s of internal customers and millions of external customers. You will build on multiple AWS services and have opportunities to engage directly with those teams to improve our core offerings. At AWS, we work with our customers on a daily basis to prove out our ideas, gather feedback, and improve the platform. Loc

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