Amazon Data Services, Inc.

Technology

DataEngineer,AWSDCCentralOperations

$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, AWS DC Central Operations at Amazon Data Services, Inc.. Skills: Data engineering, ETL, Data warehousing, AWS. Develop and maintain automated ETL pipelines. Implement and support reporting and analytics infrastructure”

Industry & Context.

Technology
Problems you'll solve

Complex analytical problems; Complex analytical challenges

What They're Looking For.

Must Have

3+ years of data engineering experience, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines, Knowledge of professional software engineering best practices, Knowledge of full software development life cycle, Bachelor's degree in Computer Science, Bachelor's degree in Engineering, Bachelor's degree in Mathematics, Bachelor's degree in a related field

Nice to Have

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

Develop and maintain data catalog

Develop and maintain user documentation

Work with internal business customers to gather requirements

Work with software development teams to gather requirements

Document requirements for data publishing

Document requirements for data consumption

Explore innovative data transformation techniques

automated reporting solutions

Collaborate with cross-functional teams

Research emerging technologies

How You'll Work.

Team & Collaboration

Cross-functional teams; Business intelligence engineer; Software engineers

Full Job Description

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain 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. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. As a Data Engineer on our team, you'll work with technologies and complex data environments. You'll be responsible for enhancing our existing data architecture to further standardize metrics and definitions, developing end-to-end data engineering solutions for complex analytical problems, and collaborating with business intelligence engineer, and software engineers to translate data into actionable insights. 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 analy

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