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# Business Intel Engineer - II, Amazon Robotics, Amazon Robotics, Global Operations - Artificial Intelligence (GO-AI)

- **Company:** Amazon.com, Inc.
- **Location:** Nashville, TN, United States
- **Experience:** Experienced
- **Salary:** $99,500.0 - $160,000.0
- **Contract:** Temporary contract
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Elastic Compute Cloud, Amazon S3, Data Analysis, Big Data, Databases, Data Governance, Data Integrity, Extract Transform Load (ETL), Data Mining, Data Visualization, Data Warehousing, Amazon DynamoDB, R (Programming Language), Python (Programming Language), MATLAB, NoSQL, Oracle (Applications), Scrum Methodology, SAS (Software), SQL Databases, Tableau (Software), Data Processing, Scripting, Mobile Robots, Apache Spark, AWS Lambda, Data Pipelines, Amazon Redshift
- **Published:** June 7, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a6261f4cb4065c17

## About the Role

Do you have experience in Technical writing within technology?, * 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience

 * Experience with data visualization using Tableau, Quicksight, or similar tools
 * Experience with data modeling, warehousing and building ETL pipelines
 * Experience in Statistical Analysis packages such as R, SAS and Matlab
 * Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
 * Experience translating customer needs into business requirements
 * Experience writing and optimizing SQL queries with large-scale, complex datasets
 * Experience documenting data models, pipelines, and metrics definitions, * Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
 * Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
 * Experience using Python scripting to process data for modeling
 * Experience working with cross-functional teams
 * Experience working in an Agile or Scrum environment
 * Knowledge of data governance, privacy, and security best practices

## Description

* Design, development and ongoing operations of scalable, performant data warehouse (Redshift) tables, data pipelines, reports and dashboards.

 * Development of moderately to highly complex data processing jobs using appropriate technologies (e.g. SQL, Python, Spark, AWS Lambda, etc.)

 * Development of dashboards and reports.

 * Collaborating with stakeholders to understand business domains, requirements, and expectations. Additionally, working with owners of data source systems to gain insights into capabilities and limitations.

 * Deliver minimally to moderately complex data analysis.

 * Adopt best practices in reporting: data integrity, test design, validation, and documentation.

 * Ensure excellence in verbal and written communication.


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