Data Engineer, Internal Benchmarking - Seattle, WA

Data Engineer in Seattle, WA

Posted 2019-10-24

Key Responsibilities:
· Manage Redshift/Spectrum/EMR infrastructure, and drive architectural plans and implementation for future data storage, reporting, and analytic solutions
· Design data schema and operate internal data warehouses and SQL/NoSQL database systems
· Design, implement, automate, and monitor data pipelines
· Develop Extract-Transform-Load (ETL) jobs and Redshift/Spectrum/EMR jobs to design and generate business metrics
· Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions

· Bachelor's degree in Computer Science, Mathematics, Statistics, Finance, related technical field, or equivalent work experience
· 3+ years of relevant work experience in software development, analytics, data engineering, business intelligence or related IT fields, with 1+ years in data engineering
· Experience in writing and optimizing SQL queries in a business environment with large-scale, complex datasets
· Detailed knowledge of data warehouse technical architecture, infrastructure components, ETL and reporting/analytic tools and environments
· Experience in data visualization software (Tableau/Quicksight) or open-source projects

· Graduate degree in Computer Science, Mathematics, Statistics, Finance, or related technical field
· 1+ years of experience in implementing big data processing technology (Hadoop, etc.)
· Strong ability to effectively communicate with both business and technical teams
· Demonstrated experience delivering actionable insights for a consumer business
· Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc.)
· Experience with AWS technologies including Redshift, RDS, S3, EMR (or equivalent with other cloud-based technologies)
· Experience and interest in statistical analysis would be highly useful

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Company summary

Amazon strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online.


Employee assistance program; stock options; adoption assistance; employee discount.

Tech Stack

PostgreSQL, C, C++, C#, AWS, Java, Python, Ruby, Linux, Unix

Interview process

Tech screen prior to conversation with hiring manager; extensive onsite with possible second round.

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