Amazon.com Services LLC
Data Science, Data Engineering, amazonfresh
DataEngineer,WWGS
Neural analysis suggests this role is
optimal for Mid candidates.
“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.
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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