Amazon Data Services, Inc.

Technology

DataEngineer

$91–185k 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 Engineering, ETL, Data Warehousing, AWS. Develop automated ETL pipelines. Maintain automated ETL pipelines”

Industry & Context.

Technology

What They're Looking For.

Must Have

1+ years of data engineering experience, Experience with data modeling, Experience building ETL pipelines, Experience with SQL, Experience with Python, Bachelor's degree in Computer Science, Bachelor's degree in Computer Engineering, Bachelor's degree in related fields

Nice to Have

Experience with Hadoop, Experience with Hive, Experience with Spark, Experience with EMR, Experience with Informatica, Experience with ODI, Experience with SSIS, Experience with BODI, Experience with Datastage, Experience with ETL tools

What You'll Do.

Develop automated ETL pipelines

Maintain automated ETL pipelines

Monitor ETL pipelines

Implement reporting infrastructure

Support reporting infrastructure

Implement analytics infrastructure

Support analytics infrastructure

Develop data security solutions

Maintain data security solutions

Develop permissions solutions

Maintain permissions solutions

Develop data objects for business analytics

Develop data warehouse tables

Optimize data warehouse tables

Develop data lake tables

Optimize data lake tables

Develop data warehouse metadata

Maintain data warehouse metadata

Develop data lake metadata

Maintain data lake metadata

Maintain data catalog

Develop user documentation

Maintain user documentation

Gather requirements for data publishing

Document requirements for data publishing

Gather requirements for data consumption

Document requirements for data consumption

How You'll Work.

Team & Collaboration

Internal business customers; Software development teams

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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