Overview
Business Intelligence Engineer, RBS ARTS. The RBS team is an integral part of Amazon online product lifecycle and buying operations. The team’s primary role is to create and enhance retail selection on the worldwide Amazon online catalog. The role involves discovering and solving problems, learning complex systems, working with numbers, and organizing and communicating data and reports. The candidate should be detail-oriented, able to handle multiple projects, manage ambiguity, and engage with multiple internal teams to drive business projects and automation for the RBS team. The environment is fast-paced and deadline-driven, requiring flexibility and customer-centric focus.
Responsibilities
* 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 technologies such as SQL, Python, Spark, AWS Lambda, etc.
* Development of dashboards and reports.
* Collaborate with stakeholders to understand business domains, requirements, and expectations; work with data source owners to understand capabilities and limitations.
* Deliver minimally to moderately complex data analysis; collaborate with Data Science as complexity increases.
* Actively manage project timelines and deliverables, anticipate risks, and resolve issues.
* Adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
Basic Qualifications
* Bachelor’s degree in Computer Science, Information Technology, or a related field
* Proficiency in automation using Python
* Excellent oral and written communication skills
* Experience with SQL, ETL processes, or data transformation
Preferred Qualifications
* Experience with scripting and automation tools
* Familiarity with Infrastructure as Code (IaC) tools such as AWS CDK
* Knowledge of AWS services such as SQS, SNS, CloudWatch and DynamoDB
* Understanding of DevOps practices, including CI/CD pipelines and monitoring solutions
* Understanding of cloud services, serverless architecture, and systems integration
* Experience with data-specific programming languages/packages such as R or Python Pandas
* Experience with AWS solutions such as EC2, DynamoDB, S3, and EMR
* Knowledge of machine learning techniques and concepts
Additional Qualifications
* 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, or similar 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
EEO and Accommodation
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. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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