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Data Engineer II, PPE Product IntelligenceAmazon • Seattle, Washington, United States
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XX

Data Engineer II, PPE Product Intelligence

Amazon
  • US
    Seattle, Washington, United States
  • US
    Seattle, Washington, United States
Find similar jobs

About

Overview Amazon's Price Perception and Evaluation team is seeking a driven Data Engineer to work on exciting price evaluation projects. As a Data Engineer, you will design, implement, and support scalable data infrastructure solutions to integrate with heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data for machine learning models and ad‑hoc data requests, and work with AWS big data technologies. You will collaborate with business owners and applied scientists to gather infrastructure requirements, design data pipelines, and build datasets to meet business needs. Key Responsibilities
Design, implement, and support data warehouse/data lake infrastructure using the AWS big data stack (Python, Redshift, QuickSight, Glue, lake formation, EMR/Spark, Athena). Develop and manage ETLs to source data from various systems and create a unified data model for machine learning. Research and evaluate the latest big data and visualization technologies to provide new capabilities and increase efficiency. Collaborate closely with a team of scientists to drive price evaluation model research. Manage multiple concurrent requests strategically, prioritizing when necessary.
Basic Qualifications
3+ years of data engineering experience. 1+ years of designing and operating large‑scale data structures for business intelligence analytics using ETL/ELT processes. 1+ years of designing and operating large‑scale data structures using OLAP technologies. 1+ years of designing and operating data models. 1+ years of SQL experience. Experience with data modeling, warehousing, and building ETL pipelines. Bachelor's degree.
Preferred Qualifications
Experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM roles and permissions. Experience with non‑relational databases or data stores (object storage, document or key‑value stores, graph databases, column‑family databases). Experience creating processes and improving tools that measurably improve productivity, quality, or user experience. Experience in process improvements with automation and analysis, or leading opportunities to improve, automate, standardize, or simplify business tools and processes.
Salary & Benefits USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and options for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. #J-18808-Ljbffr
  • Seattle, Washington, United States

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  • English
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