Amazon
Business Intelligence Engineer, JP Retail Science
Amazon, Seattle, Washington, us, 98127
Business Intelligence Engineer, JP Retail Science
We are seeking a Senior Business Intelligence Engineer to drive the development of cutting-edge data engineering infrastructure and solutions that can scale across Amazon's largest vendors. In this role, your primary focus will be on designing and building robust data pipelines, architectures, and platforms to support the delivery of advanced analytics and machine learning models for our eCommerce partners as a part of Amazon's new generation of Paid Services.You will work directly with our product managers to prototype analytical and BI solutions and scale to hundreds of vendors, and even change the market, both in JP and WW, and with other business intelligence engineers and data engineers to develop the infrastructure necessary to deploy productionized solutions through code. As a member of the team you will also work with vendors, team members, and AVS internal and external partners to give input into the way we work, how we serve customers, and where we invest in future capabilities.This position is ideal for candidates with a strong background in data engineering, a passion for building scalable and efficient data solutions, and a desire to drive tangible business impact through data-driven insights. You will have the opportunity to work on challenging projects that push the boundaries of what is possible, while contributing to the success of Amazon's largest vendor partnerships.Key Job Responsibilities
The BIE is accountable for:Working closely with frontline consultants, distilling technical problems from business requirements.Defining together with PMs requirements and design for a scalable deployment of solutions through paid services, leveraging tools on AWS and CDK.Identifying appropriate metrics and feature sets for the problem, and building/maintaining automated pipelines for their extraction.Working closely with our scientists to design scalable model architectures.Utilizing Amazon systems and tools to effectively work with terabytes of data.Independently applying models developed by the science team to vendor use cases and drawing business conclusions from results.Actively contributing to and maintaining internal team BI infrastructure.Preparing materials for vendor-facing presentations and distilling vendor problems into technical requirements.About the Team
In this position, you will be part of the JP Retail Science team, consisting of scientists and business intelligence engineers collaborating with Product Managers and Software Developers worldwide. Our current projects touch on the areas of causal inference, representation learning, anomaly detection, NLP, and forecasting. As part of working on Paid Services, you will be exposed to all other projects the team works on: we believe that collaboration is paramount, and working in isolation does not lead to a happy team.We place strong emphasis on continuous learning through internal mechanisms for our team members to keep on growing their expertise and keep up with the state of the art. Our goal is to be the primary science team for vendor solutions in Amazon, worldwide.Minimum Qualifications
- 2+ years of experience building scalable ETL pipelines and analytical solutions.- Experience programming to extract, transform and clean large (multi-TB) data sets.- Experience with data modeling, warehousing, and building ETL pipelines.- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.- Experience in Statistical Analysis packages such as R, SAS, and Matlab.- Experience working directly with business stakeholders to translate between data and business needs.- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.- Experience with CDK.
#J-18808-Ljbffr
We are seeking a Senior Business Intelligence Engineer to drive the development of cutting-edge data engineering infrastructure and solutions that can scale across Amazon's largest vendors. In this role, your primary focus will be on designing and building robust data pipelines, architectures, and platforms to support the delivery of advanced analytics and machine learning models for our eCommerce partners as a part of Amazon's new generation of Paid Services.You will work directly with our product managers to prototype analytical and BI solutions and scale to hundreds of vendors, and even change the market, both in JP and WW, and with other business intelligence engineers and data engineers to develop the infrastructure necessary to deploy productionized solutions through code. As a member of the team you will also work with vendors, team members, and AVS internal and external partners to give input into the way we work, how we serve customers, and where we invest in future capabilities.This position is ideal for candidates with a strong background in data engineering, a passion for building scalable and efficient data solutions, and a desire to drive tangible business impact through data-driven insights. You will have the opportunity to work on challenging projects that push the boundaries of what is possible, while contributing to the success of Amazon's largest vendor partnerships.Key Job Responsibilities
The BIE is accountable for:Working closely with frontline consultants, distilling technical problems from business requirements.Defining together with PMs requirements and design for a scalable deployment of solutions through paid services, leveraging tools on AWS and CDK.Identifying appropriate metrics and feature sets for the problem, and building/maintaining automated pipelines for their extraction.Working closely with our scientists to design scalable model architectures.Utilizing Amazon systems and tools to effectively work with terabytes of data.Independently applying models developed by the science team to vendor use cases and drawing business conclusions from results.Actively contributing to and maintaining internal team BI infrastructure.Preparing materials for vendor-facing presentations and distilling vendor problems into technical requirements.About the Team
In this position, you will be part of the JP Retail Science team, consisting of scientists and business intelligence engineers collaborating with Product Managers and Software Developers worldwide. Our current projects touch on the areas of causal inference, representation learning, anomaly detection, NLP, and forecasting. As part of working on Paid Services, you will be exposed to all other projects the team works on: we believe that collaboration is paramount, and working in isolation does not lead to a happy team.We place strong emphasis on continuous learning through internal mechanisms for our team members to keep on growing their expertise and keep up with the state of the art. Our goal is to be the primary science team for vendor solutions in Amazon, worldwide.Minimum Qualifications
- 2+ years of experience building scalable ETL pipelines and analytical solutions.- Experience programming to extract, transform and clean large (multi-TB) data sets.- Experience with data modeling, warehousing, and building ETL pipelines.- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.- Experience in Statistical Analysis packages such as R, SAS, and Matlab.- Experience working directly with business stakeholders to translate between data and business needs.- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.- Experience with CDK.
#J-18808-Ljbffr