Amazon is hiring: Data Engineer, Amazon Business Flywheel Inputs in Nashville

Data Engineer, Amazon Business Flywheel Inputs

Job ID: 3051246 | Amazon.com Services LLC

A high-level overview of the role is provided below for clarity and consistency. Amazon Business Flywheel Inputs Analytics team is looking for a Data Engineer to build our data platform and set us up for future growth. Amazon Business represents an opportunity to address a vast new market segment and customer base for Amazon. The team focuses on building solutions for B2B customers across devices and marketplaces, and owns data-driven decision making for pricing, selection, and operations optimization. We seek leaders who can think big and drive vision into reality.

As a Data Engineer, you will partner with Software Developers, Business Intelligence Engineers, Scientists, and Product Managers to develop scalable and maintainable data pipelines on both structured and unstructured data. The ideal candidate has strong business judgment, deep knowledge of data modeling and database architecture, documentation skills, and experience with big data technologies (Spark/Hive, Redshift, EMR, and other AWS technologies).

You will establish operating procedures in partnership with software engineering teams to capture telemetry from product launches, design ingestion to integrate with the Amazon Business Pricing, Selection, and Managed Spend data model, and influence data warehousing and orchestration mechanisms across the team.

Key job responsibilities

• Designing, implementing, and maintaining a cutting-edge data infrastructure to support our large and complex datasets using AWS Services and internal BDT Tools
• Working with Scientists, Product Managers, BI Engineers, and Software Engineers to design, implement and support source of truth data sources
• Developing and optimizing robust ETL pipelines with comprehensive monitoring, alarms, and data quality controls to seamlessly integrate diverse data sources
• Building and scaling an analytical data model that provides self-service access to data and flexibility to integrate data sets from multiple sources
• Manage AWS resources, including exploring and learning the latest AWS technologies to provide new capabilities and increased efficiency
• Foster engineering best practices and a culture of continuous learning and innovation

Basic Qualifications

• Experience with SQL
• 3+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines

Preferred Qualifications

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets

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. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.