Data Engineering Manager FinAuto - Payables Tech
Data Engineering Manager FinAuto - Payables Tech
Posted on :
17-04-2025
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1 Vacancy
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Job Description
At Finance Automation we are passionate about building systems and services that deliver a seamless and transparent finance experience for Amazon partners. We are responsible for building the systems that automate and orchestrate the services analytics and financial transactions that supports Amazon customers and vendors worldwide. Our talented teams span across the globe and depend on our systems to perform their work and serve customers efficiently effectively and securely. We build operate and scale systems that are responsible for billions of dollars in transactions and are central to the success of worldwide finance. If youre interested in building the next generation of financial distributed and directed work systems that supports Amazon scale and want to have a direct and immediate impact with customers this job is for you.
We are seeking a strong experienced Data Engineering Manager who will lead the technical design development and launch of a new global system that will serve finance needs worldwide. Their leadership will deliver a new system and set of services that will be at the core of making it easier for customers and vendors to do business with Amazon Retail AWS etc. A strong candidate will have experience with designing and building secure distributed systems that operate globally. They will have experience in building on AWS and be responsible for the architecture design and implementation that will provide availability and latency guarantees. Finally they will be leaders on the team and will raise the bar for the organization by mentoring junior engineers interviewing and setting a high bar for coding standards.
Key job responsibilities
5 years of experience as a Data Engineer or in a similar role
Experience managing a data or BI team
Experience with data modeling data warehousing and building ETL pipelines
Experience leading and influencing the data strategy of your team or organization
Experience in SQL
A Bachelors degree in Computer Science or similar major
Handson experience leading delivery and operations of distributed high quality systems
Fundamentals in data structures algorithm problem solving and complexity analysis
2 years of processing data with a massively parallel technology (such as Redshift Teradata Netezza Spark or Hadoop based big data solution) experience
2 years of relational database technology (such as Redshift Oracle MySQL or MS SQL) experience
2 years of developing and operating largescale data structures for business intelligence analytics (using ETL/ELT processes) experience
5 years of data engineering experience
Experience managing a data or BI team
Experience communicating to senior management and customers verbally and in writing
Experience leading and influencing the data or BI strategy of your team or organization
Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
Experience with big data technologies such as: Hadoop Hive Spark EMR
Experience with AWS Tools and Technologies (Redshift S3 EC2
Experience defining system architectures technical tradeoffs and design patterns.
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.
We are seeking a strong experienced Data Engineering Manager who will lead the technical design development and launch of a new global system that will serve finance needs worldwide. Their leadership will deliver a new system and set of services that will be at the core of making it easier for customers and vendors to do business with Amazon Retail AWS etc. A strong candidate will have experience with designing and building secure distributed systems that operate globally. They will have experience in building on AWS and be responsible for the architecture design and implementation that will provide availability and latency guarantees. Finally they will be leaders on the team and will raise the bar for the organization by mentoring junior engineers interviewing and setting a high bar for coding standards.
Key job responsibilities
5 years of experience as a Data Engineer or in a similar role
Experience managing a data or BI team
Experience with data modeling data warehousing and building ETL pipelines
Experience leading and influencing the data strategy of your team or organization
Experience in SQL
A Bachelors degree in Computer Science or similar major
Handson experience leading delivery and operations of distributed high quality systems
Fundamentals in data structures algorithm problem solving and complexity analysis
2 years of processing data with a massively parallel technology (such as Redshift Teradata Netezza Spark or Hadoop based big data solution) experience
2 years of relational database technology (such as Redshift Oracle MySQL or MS SQL) experience
2 years of developing and operating largescale data structures for business intelligence analytics (using ETL/ELT processes) experience
5 years of data engineering experience
Experience managing a data or BI team
Experience communicating to senior management and customers verbally and in writing
Experience leading and influencing the data or BI strategy of your team or organization
Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
Experience with big data technologies such as: Hadoop Hive Spark EMR
Experience with AWS Tools and Technologies (Redshift S3 EC2
Experience defining system architectures technical tradeoffs and design patterns.
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.
Required Experience:
Manager
Employment Type
Full-Time
Department / Functional Area
Key Skills
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