Data Engineer, Selling Partner Insights and Analytics
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Posted on:
30+ days ago
Vacancies:
1 Vacancy
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Job Summary
Amazons Selling Partner Insights and Analytics (SPIA) organization is seeking an experienced Data Engineer (DE) who will be a key contributor in architecting and building data platforms that directly impact sellers experience on Amazon. If you are a self-starter someone who thrives in a fast-paced and ever-changing environment with an uncanny knack and passion for developing data intensive applications then you are the right candidate for our team. Join us at the Central analytics Team of Amazons Selling Partner (SP) Support Org and become part of a global team that is redefining the future of e-commerce. With access to vast amounts of data and big focus on AI/LLM you will have the opportunity to make a meaningful impact on the way data is accessed across SPS. Together we will drive innovation solve complex problems and shape the future of e-commerce
Key job responsibilities
As a Data Engineer in the Selling Partner (SP) Support Organization you will work in one of its most dynamic and challenging spaces. You will design implement and support scalable data infrastructure solutions that integrate diverse data sources aggregate and curate data for reporting analysis and LLM models. Working with native AWS technologies you will create pragmatic solutions while maintaining appropriate complexity levels.
Your role requires excellent business and communication skills to collaborate effectively with business owners and technical leaders. You will gather infrastructure requirements design data architecture and build data pipelines and datasets to meet business needs. Additionally you will be responsible for creating coherent logical data models that drive physical design.
In this role you will focus on designing scalable architectures for robust applications and pipelines. You will need to make appropriate trade-offs reuse where possible and be judicious about introducing dependencies. Staying current with emerging technologies and implementing them where appropriate will be essential for success in this role.
A day in the life
A day in the life of Data Engineer is equally interesting and challenging. The interesting part is learning about business ever expanding databases and codebases internal tech stack for builders AWS and many more. The challenging part of a data engineers life is to apply these learnings in building robust and reliable data applications. A DE will be involved in driving both business and technical related discussions and making several key decisions contributing to the success of Selling Partner Operations and Business teams.
About the team
Selling Partner Insights and Analytics teams (SPIA) vision is to provide data and insights to accelerate stakeholders data-driven decisions. Our mission is to make it easier and faster for our internal customers to use analytics to shorten the path from data to insights. The business intelligence world is experiencing a fundamental shift from traditional reporting to predictive and prescriptive analytics. For SPIA this means building a foundation that can support both current needs and future innovations.
- 3 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- Experience with one or more query language (e.g. SQL PL/SQL DDL MDX HiveQL SparkSQL Scala)
- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage document or key-value stores graph databases column-family databases)
- Knowledge of professional software engineering & best practices for full software development life cycle including coding standards software architectures code reviews source control management continuous deployments testing and operational excellence
- Knowledge of distributed systems as it pertains to data storage and computing
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 for more information. If the country/region youre applying in isnt 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 $118900/year in our lowest geographic market up to $205600/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Key job responsibilities
As a Data Engineer in the Selling Partner (SP) Support Organization you will work in one of its most dynamic and challenging spaces. You will design implement and support scalable data infrastructure solutions that integrate diverse data sources aggregate and curate data for reporting analysis and LLM models. Working with native AWS technologies you will create pragmatic solutions while maintaining appropriate complexity levels.
Your role requires excellent business and communication skills to collaborate effectively with business owners and technical leaders. You will gather infrastructure requirements design data architecture and build data pipelines and datasets to meet business needs. Additionally you will be responsible for creating coherent logical data models that drive physical design.
In this role you will focus on designing scalable architectures for robust applications and pipelines. You will need to make appropriate trade-offs reuse where possible and be judicious about introducing dependencies. Staying current with emerging technologies and implementing them where appropriate will be essential for success in this role.
A day in the life
A day in the life of Data Engineer is equally interesting and challenging. The interesting part is learning about business ever expanding databases and codebases internal tech stack for builders AWS and many more. The challenging part of a data engineers life is to apply these learnings in building robust and reliable data applications. A DE will be involved in driving both business and technical related discussions and making several key decisions contributing to the success of Selling Partner Operations and Business teams.
About the team
Selling Partner Insights and Analytics teams (SPIA) vision is to provide data and insights to accelerate stakeholders data-driven decisions. Our mission is to make it easier and faster for our internal customers to use analytics to shorten the path from data to insights. The business intelligence world is experiencing a fundamental shift from traditional reporting to predictive and prescriptive analytics. For SPIA this means building a foundation that can support both current needs and future innovations.
- 3 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- Experience with one or more query language (e.g. SQL PL/SQL DDL MDX HiveQL SparkSQL Scala)
- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage document or key-value stores graph databases column-family databases)
- Knowledge of professional software engineering & best practices for full software development life cycle including coding standards software architectures code reviews source control management continuous deployments testing and operational excellence
- Knowledge of distributed systems as it pertains to data storage and computing
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 for more information. If the country/region youre applying in isnt 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 $118900/year in our lowest geographic market up to $205600/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
AmaZone Cafe it is a very cosy place, focus on healthy food, where you can delight with your friends and family and try the best Acai, the famous brazillian fruit.
