Senior Data Engineer WWFBA Analytics Engineering
Senior Data Engineer WWFBA Analytics Engineering
Posted on :
09-04-2025
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1 Vacancy
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Job Description
World Wide Fulfillment by Amazon (FBA) enables sellers to outsource order fulfillment to Amazon leveraging our worldclass supply chain and technology to provide customers with the fastest delivery promises and seamless returns. Sellers gain access to Prime and nonPrime customers globally while focusing on their core business.
The WWFBA Analytics & Engineering team part of the FBA Insights & Planning organization is dedicated to building centralized analytics and data engineering infrastructure for FBA business. Our mission is to deliver scalable data solutions that unify sources of truth bridge gaps and reduce operational complexity. We drive incremental improvements while advancing towards longterm strategic goals.
We are seeking an exceptional Senior Data Engineer who is datadriven detailoriented and passionate about solving complex problems. You will collaborate with a diverse team of software engineers data engineers and analysts to build a truly global data lake and infrastructure using advanced technologies including Spark Ray DBT and AWS technologies to enhance performance and efficiency.
As a key member of our team you will:
Lead the design and implementation of scalable data pipelines and storage solutions.
Partner with crossfunctional teams including product managers program managers business intelligence engineers (BIEs) and business leaders.
Drive technical innovation and best practices for data engineering and analytics.
Develop an AIpowered insights platform to enhance the accuracy and speed of insights generation for the FBA business.
Collaborate with regional FBA Finance and Retail teams to ensure seamless data integration and consistency.
This role requires exceptional analytical thinking problemsolving skills and a demonstrated ability to work through ambiguity. Youll have the opportunity to influence decisionmaking across WWFBA by providing reliable actionable insights.
If youre eager to work with largescale global datasets explore new technologies and contribute to the future of FBA wed love to hear from you. Reach out to schedule an informational chat with the hiring manager.
Bachelors degree in computer science engineering analytics mathematics statistics IT or equivalent
5 years of data engineering database engineering business intelligence or business analytics experience
4 years of experience in developing and operating largescale ETL/ELT processes data modeling and database management.
4 years of coding experience in modern programming or scripting languages (e.g. Python Scala Java C# PowerShell).
4 years of experience working with relational databases (e.g. Redshift Oracle Postgres SQL Server).
4 years of experience in building and maintaining highly available distributed systems for largescale data extraction ingestion and processing.
Advanced SQL skills with a strong focus on query performance optimization.
Handson experience with massively parallel processing (MPP) data technologies (e.g. Redshift Spark Hadoop).
Proficiency with Pythonbased data analysis libraries (e.g. Pandas/Polars).
Masters or PhD in Computer Science Engineering Mathematics or a related field.
Experience in building data products incrementally and integrating datasets from multiple sources.
Proven expertise in managing largescale data environments (e.g. data lakes lakehouses or data warehouses).
Strong SQL query performance tuning skills using Unix/Linux profiling tools.
Proficiency with AWS services (e.g. SNS Redshift RDS S3 EC2 Athena Glue Lambda SageMaker EventBridge CloudWatch Logs SQS Route 53.
Experience with data visualization using BI platforms (e.g. Tableau Power BI QuickSight).
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 $139100/year in our lowest geographic market up to $240500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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.
The WWFBA Analytics & Engineering team part of the FBA Insights & Planning organization is dedicated to building centralized analytics and data engineering infrastructure for FBA business. Our mission is to deliver scalable data solutions that unify sources of truth bridge gaps and reduce operational complexity. We drive incremental improvements while advancing towards longterm strategic goals.
We are seeking an exceptional Senior Data Engineer who is datadriven detailoriented and passionate about solving complex problems. You will collaborate with a diverse team of software engineers data engineers and analysts to build a truly global data lake and infrastructure using advanced technologies including Spark Ray DBT and AWS technologies to enhance performance and efficiency.
As a key member of our team you will:
Lead the design and implementation of scalable data pipelines and storage solutions.
Partner with crossfunctional teams including product managers program managers business intelligence engineers (BIEs) and business leaders.
Drive technical innovation and best practices for data engineering and analytics.
Develop an AIpowered insights platform to enhance the accuracy and speed of insights generation for the FBA business.
Collaborate with regional FBA Finance and Retail teams to ensure seamless data integration and consistency.
This role requires exceptional analytical thinking problemsolving skills and a demonstrated ability to work through ambiguity. Youll have the opportunity to influence decisionmaking across WWFBA by providing reliable actionable insights.
If youre eager to work with largescale global datasets explore new technologies and contribute to the future of FBA wed love to hear from you. Reach out to schedule an informational chat with the hiring manager.
Bachelors degree in computer science engineering analytics mathematics statistics IT or equivalent
5 years of data engineering database engineering business intelligence or business analytics experience
4 years of experience in developing and operating largescale ETL/ELT processes data modeling and database management.
4 years of coding experience in modern programming or scripting languages (e.g. Python Scala Java C# PowerShell).
4 years of experience working with relational databases (e.g. Redshift Oracle Postgres SQL Server).
4 years of experience in building and maintaining highly available distributed systems for largescale data extraction ingestion and processing.
Advanced SQL skills with a strong focus on query performance optimization.
Handson experience with massively parallel processing (MPP) data technologies (e.g. Redshift Spark Hadoop).
Proficiency with Pythonbased data analysis libraries (e.g. Pandas/Polars).
Masters or PhD in Computer Science Engineering Mathematics or a related field.
Experience in building data products incrementally and integrating datasets from multiple sources.
Proven expertise in managing largescale data environments (e.g. data lakes lakehouses or data warehouses).
Strong SQL query performance tuning skills using Unix/Linux profiling tools.
Proficiency with AWS services (e.g. SNS Redshift RDS S3 EC2 Athena Glue Lambda SageMaker EventBridge CloudWatch Logs SQS Route 53.
Experience with data visualization using BI platforms (e.g. Tableau Power BI QuickSight).
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 $139100/year in our lowest geographic market up to $240500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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.
Required Experience:
Senior IC
Employment Type
Full-Time
Department / Functional Area
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