Amazon.com Services LLC

Data Science, Data Engineering, amazonfresh

DataEngineer,WWGS

$119–206k Arlington, Virginia, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Data Engineer, WWGS at Amazon.com Services LLC. Skills: Data engineering, AWS components, Data pipelines. Design self-serve data platform. Implement self-serve data platform”

Industry & Context.

Data Science, Data Engineering, amazonfresh
Problems you'll solve

Solve complex data problems

What They're Looking For.

Must Have

3+ years of data engineering experience, 1+ years ETL/ELT experience, 1+ years OLAP technologies experience, 1+ years data modeling experience, 1+ years SQL experience, 1+ years Oracle experience, Data modeling experience, Warehousing experience, Building ETL pipelines experience

Nice to Have

AWS Redshift experience, AWS S3 experience, AWS Glue experience, AWS EMR experience, AWS Kinesis experience, AWS FireHose experience, AWS Lambda experience, AWS IAM roles experience, AWS permissions experience, Non-relational databases experience, Object storage experience, Document stores experience, Key-value stores experience, Graph databases experience, Column-family databases experience

What You'll Do.

Design self-serve data platform

Implement self-serve data platform

Support self-serve data platform

Maintain AWS components

Develop automation of data pipelines

Create automated alarming

Monitor data integrity

Interface with technology teams

Influence adoption of data technology

Influence adoption of data frameworks

Build proof of concept applications

Improve proof of concept applications

Produce documentation

Maintain documentation

How You'll Work.

Team & Collaboration

Partner with engineers; Partner with analysts; Partner with scientists; Partner with business leads; Partner with engineering teams; Partner with scientists

Full Job Description

Amazon Fresh Grocery is seeking a talented and entrepreneurial Data Engineer who is passionate about building and maintaining data ecosystems. As a Data Engineer, you will be a strategic partner for fellow engineers, analysts, scientists, and business leads to solve the most complex data problems in the Grocery business. You will work with a wide range of tools and systems and stay abreast of emergent technologies and frameworks, knowing where and when to implement them. You will have strong data mining and modeling skills and be comfortable facilitating Think Big ideation, working from concept through to execution. You will partner with other engineering teams on solutions, federated governance, and overall data architecture and strategy. You will participate in the full development life cycle including design, implementation and testing, documentation, delivery, support, and maintenance. Key job responsibilities * Design, implement and support a self-serve data platform for engineers, scientists, and business stakeholders (for both technical and non-technical user groups) * Build and maintain interoperable AWS components for data storage, computation, and compliance/privacy (e.g., EC2, EMR, S3, Glue, Redshift, etc.) * Develop the end-to-end automation of data pipelines, making datasets readily-consumable by visualization tools and notification systems * Create automated alarming and dashboards to monitor data integrity * Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL, scripting (e.g., Python), and AWS technologies * Influence the organization to adopt next-generation data technology and frameworks, knowing where and when to implement * Partner with fellow engineers and scientists to build proof of concept applications (iterating and improving upon them over time) such as for business process automation, forecasting, and causal inference * Produce and maintain comprehensive documentation and

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