Amazon.com Services LLC

Data Science, Data Engineering, amazonian experience and tech

DataEngineer

$101–160k 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, Data warehousing, ETL, AWS. Design data warehouse infrastructure. Implement data warehouse infrastructure”

What You'll Achieve.

Timely insights; Accurate insights; Actionable insights

Industry & Context.

Data Science, Data Engineering, amazonian experience and tech
Problems you'll solve

Data puzzles; Problem-solving; Identifying patterns; Analytical

What They're Looking For.

Must Have

1+ years of data engineering experience, 1+ years of analyzing and interpreting data, Experience with data modeling, Experience building ETL pipelines, Knowledge of writing and optimizing SQL queries, Experience with one or more scripting language

Nice to Have

Experience with any ETL tool, Experience with big data processing technology, Experience with data warehouse technical architecture, Experience with infrastructure components, Experience with ETL, Experience with reporting/analytic tools and environments

What You'll Do.

Design data warehouse infrastructure

Implement data warehouse infrastructure

Support data warehouse infrastructure

Design data lake infrastructure

Implement data lake infrastructure

Support data lake infrastructure

Collaborate with Business Intelligence Engineers

Adopt best practices in reporting

Adopt best practices in analysis

Integrate new data types

Integrate new equipment

Empower customers for self-serve reporting

Support ad-hoc reporting

Improve ongoing reporting processes

Improve ongoing analysis processes

Automate self-service support

Simplify self-service support

Develop quick proof of concepts

Iterate and improve solutions

Apply software best practices

Follow coding standards

Manage source control

Develop using agile methodology

Manage build processes

Foster a culture of inclusion

How You'll Work.

Team & Collaboration

Business Intelligence Engineers; Technical customers; Non-technical customers

Communication Scope

Business owners; Customers

Process & Methodology

Agile development

Full Job Description

Are you driven by the excitement of unraveling intricate data puzzles? Does your DNA resonate with collaborative problem-solving? Do you thrive on witnessing the ripple effects of your contributions in the larger scheme of things? If you've nodded along to any of these questions, welcome to Amazon PeopleInsights eXperience (APIX) team! We're not just a team; we're a dynamic cohort of engineers dedicated to leveraging innovations for Amazon's PXT Business Analytics tools and software. Together, we confront tangible challenges head-on, poised to revolutionize customer experiences in unforeseen ways. Every day, we embark on a journey of invention, pioneering fresh solutions that shape tomorrow's landscape. We are currently seeking a talented and motivated Data Engineer. In this role, you will be building data engineering applications using AWS stack. You should have deep expertise and passion in working with large data sets, data visualization, building complex data processes, performance tuning, bringing data from disparate data stores and programmatically identifying patterns. You should have excellent business acumen and communication skills to be able to work with business owners to develop and define key business questions and requirements. APIX has culture of data-driven decision-making, and demands timely, accurate, and actionable business insights. Key job responsibilities In this role you will: - Design, implement, and support business critical data warehouse / data lake infrastructure using AWS big data stack, Python, Redshift, Glue/lake formation, EMR/Spark/Scala, Athena etc in a stable, low cost model. - Collaborate with Business Intelligence Engineers to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation - Internalize our customer challenges and derive creative solutions which apply new and innovative technology. - Work directly with customers to integrate new data types,

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