Data Engineer, Project Accounting
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Monthly Salary:
Posted on:
22 hours ago
Vacancies:
1 Vacancy
Department:
Job Summary
Do you have the technical chops to build BI solutions that process billions of rows a day using AWS technologies Do you want to create next-generation tools for intuitive data access Do you wake up in the middle of the night with new ideas that will benefit your customers Are you persistent in bringing your ideas to fruition
In this role you will have the opportunity to help shape and deliver on a strategy to build PFS using Amazons utility computing web services (Amazon EC2 compute Amazon S3 storage Amazon Simple DB/RDS databases Amazon CloudFront etc.) . You will partner with accounting and tax stakeholders and will strive to earn their trust. You will work directly with your customers and will constantly innovate on their behalf. You will be a great negotiator and enjoy working with diverse mindsets.
Key job responsibilities
First things first you know SQL and data modeling like the back of your hand. You need to know data relationships whether relational non-relational streams json xml etc. and the best way to deal with these. You have a history of coming up with innovative solutions to complex technical problems. You are a quick and willing learner of new technologies and have examples to prove your aptitude. You are not tool-centric; you determine what technology works best for the problem at hand and apply it accordingly. You can explain complex concepts to your non-technical customers in simple terms.
In this role you will be responsible for creating finance systems that support Amazons global footprint. You should insist on the highest standards for quality maintainability and performance. The systems we own are responsible for trillions of financial events that would rank among the largest countries in the world by GDP. You will ensure that engineering best practices are followed and that software is designed to be highly-available dynamically scalable and resilient to continuity threats.
As a technology leader you will drive architectural and design choices and invent new features. We have a team culture that encourages innovation with a high level of ownership for the product vision technical architecture and project delivery. Successful candidates will be high-bandwidth leaders who can cut through the noise simplify relentlessly deliver results and build great customer experience.
A day in the life
- 3 years of data engineering experience
- 4 years of SQL experience
- Experience with data modeling warehousing and building ETL pipelines
- 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)
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.
In this role you will have the opportunity to help shape and deliver on a strategy to build PFS using Amazons utility computing web services (Amazon EC2 compute Amazon S3 storage Amazon Simple DB/RDS databases Amazon CloudFront etc.) . You will partner with accounting and tax stakeholders and will strive to earn their trust. You will work directly with your customers and will constantly innovate on their behalf. You will be a great negotiator and enjoy working with diverse mindsets.
Key job responsibilities
First things first you know SQL and data modeling like the back of your hand. You need to know data relationships whether relational non-relational streams json xml etc. and the best way to deal with these. You have a history of coming up with innovative solutions to complex technical problems. You are a quick and willing learner of new technologies and have examples to prove your aptitude. You are not tool-centric; you determine what technology works best for the problem at hand and apply it accordingly. You can explain complex concepts to your non-technical customers in simple terms.
In this role you will be responsible for creating finance systems that support Amazons global footprint. You should insist on the highest standards for quality maintainability and performance. The systems we own are responsible for trillions of financial events that would rank among the largest countries in the world by GDP. You will ensure that engineering best practices are followed and that software is designed to be highly-available dynamically scalable and resilient to continuity threats.
As a technology leader you will drive architectural and design choices and invent new features. We have a team culture that encourages innovation with a high level of ownership for the product vision technical architecture and project delivery. Successful candidates will be high-bandwidth leaders who can cut through the noise simplify relentlessly deliver results and build great customer experience.
A day in the life
- 3 years of data engineering experience
- 4 years of SQL experience
- Experience with data modeling warehousing and building ETL pipelines
- 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)
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:
IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
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