Senior Data Engineer, Fintech Tax
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Job Location:
Monthly Salary:
Posted on:
16 hours ago
Vacancies:
1 Vacancy
Department:
Job Summary
Amazon is seeking a Data Engineer to provide data engineering services and solutions to enable programs to scale with Amazons growth and complexity. This is a highly visible opportunity to provide custom-build solutions and services that will increase the productivity of Amazons analytical capability to scale through data.
In this role you will be a technical expert that will build datasets that Security Engineers Scientists and Analysts will utilize to generate actionable insights; with a scope that spans all of Amazons Consumer businesses Amazon Web Services and Amazon subsidiaries. The ideal candidate will be an expert in sourcing semi-structured and complex data types and normalizing them into consumable data products that are accessible for other users. Our team maintains an infrastructure that supports changing data needs. This requires data engineering problem solving to build high quality reliable accurate consistent and architecturally sound data solutions that are aligned with our business objectives.
Key job responsibilities
Design and deliver big data solutions providing access to large datasets
Collaborate with security engineers to design datasets and queries that will evaluate internal infrastructure for security posture hygiene and vulnerabilities.
Automate Data ingestion through APIs data pipelines or other applicable means making data products sets readily-consumable by other teams and various internal applications building notification systems
Create automated alarming and dashboards to monitor data integrity and data quality
Act as the subject matter expert for best practices in the data engineering space with emphasis in security and infrastructure analysis.
A day in the life
Heres a sneak peek into whats like working on the Finance Tech team at Amazon: 5 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- Experience mentoring team members on best practices
- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience operating large data warehouses
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 be a technical expert that will build datasets that Security Engineers Scientists and Analysts will utilize to generate actionable insights; with a scope that spans all of Amazons Consumer businesses Amazon Web Services and Amazon subsidiaries. The ideal candidate will be an expert in sourcing semi-structured and complex data types and normalizing them into consumable data products that are accessible for other users. Our team maintains an infrastructure that supports changing data needs. This requires data engineering problem solving to build high quality reliable accurate consistent and architecturally sound data solutions that are aligned with our business objectives.
Key job responsibilities
Design and deliver big data solutions providing access to large datasets
Collaborate with security engineers to design datasets and queries that will evaluate internal infrastructure for security posture hygiene and vulnerabilities.
Automate Data ingestion through APIs data pipelines or other applicable means making data products sets readily-consumable by other teams and various internal applications building notification systems
Create automated alarming and dashboards to monitor data integrity and data quality
Act as the subject matter expert for best practices in the data engineering space with emphasis in security and infrastructure analysis.
A day in the life
Heres a sneak peek into whats like working on the Finance Tech team at Amazon: 5 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- Experience mentoring team members on best practices
- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience operating large data warehouses
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:
Senior 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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