Amazon Data Services, Inc.

Technology

DataEngineer

$132–179k 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 Data Services, Inc.. Skills: Data Lake, Data Warehouse, ETL. Develop and maintain automated ETL pipelines. Implement and support reporting and analytics infrastructure”

Industry & Context.

Technology

What They're Looking For.

Must Have

3+ years of data engineering experience, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines, Experience with SQL, Experience in at least one modern scripting or programming language

Nice to Have

Experience with AWS technologies, Experience with non-relational databases

What You'll Do.

Develop and maintain automated ETL pipelines

Implement and support reporting and analytics infrastructure

Develop and maintain data security and permissions solutions

Develop data objects for business analytics

Develop and optimize data warehouse and data lake

Develop and maintain data warehouse and data lake

Work with internal business customers to gather requirements

Document requirements for data publishing

Document requirements for data consumption

How You'll Work.

Team & Collaboration

Software development teams; Internal business customers

Full Job Description

AWS Data Center Capacity Delivery (DCCD) is looking for a Data Engineer to support data center construction globally. We work on the most challenging problems, with thousands of variables impacting the data center delivery — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, construction specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. You’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. We’re looking for Data Engineer to help us grow our Data Lake and Data Warehouse Systems, which is being built using a serverless architecture, with 100% native AWS components including Redshift Spectrum, Athena, S3, Lambda, Glue, EMR, Kinesis, SNS, CloudWatch and more! We own a world-class data lake that is used to drive multi-billion dollar decisions on a regular cadence and we're looking to improve on filling the lake quickly, with as little human intervention needed and democratize the data in the lake. Our Data Engineers build the ETL and analytics solutions for our internal customers to answer questions with data and drive critical improvements for the business. Our Data Engineers use best practices in software engineering, data management, data storage, data compute, and distributed systems. We are passionate about solving business problems with data! Key job responsibilities • Develop and maintain automated ETL pipelines (with monitoring) using scripting languages such as Python, Spark, SQL and AWS services such as S3, Glue, Lambda, SNS, SQS, KMS. • Implement and support reporting and analytics infrastructure for internal business customers. • Develop and maintain data security and permissions solutions for enterprise scale

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