Amazon.com Services LLC

Business Intelligence, Data Engineering, amazonfresh

SeniorDataEngineer,WWGS

$139–241k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

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

Industry & Context.

Business Intelligence, Data Engineering, amazonfresh
Problems you'll solve

Solve complex data problems

What They're Looking For.

Must Have

5+ years of data engineering experience, Experience with data modeling, Experience building ETL pipelines, Experience with SQL, Experience in at least one modern scripting or programming language, Experience mentoring team members

Nice to Have

Experience with big data technologies, Experience operating large data warehouses

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

Create automated dashboards

Monitor data integrity

Extract data from sources

Transform data from sources

Load data from sources

Influence adoption of data technology

Build 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 other engineering teams; Work with visualization tools; Work with notification systems

Full Job Description

Amazon Fresh Grocery is seeking a talented and entrepreneurial Senior Data Engineer who is passionate about building and maintaining data ecosystems. As the lead 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 docu

Free ATS check

Applying for this Senior Data Engineer, WWGS role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

ANONYMOUS · UNFILTERED

What do employees actually say about Amazon.com Services LLC?

Real rants from real employees. Read before you apply.

Read Company Rants →