Data Engineer II, ShipTech Analytics
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Job Location:
Monthly Salary:
Posted on:
08-11-2025
Vacancies:
1 Vacancy
Department:
Job Summary
ShipTech Analytics (STA) is on a mission to revolutionize Amazons global transportation network through data-driven innovation and artificial intelligence. Our vision is to be the central nervous system of Amazons transportation operations providing real-time insights diagnostive analytics and AI-powered decision-making capabilities that drive operational excellence across the network.
As a Data Engineer youll be building and scaling mission-critical data products that power worldwide operations business this role youll drive technical excellence while building data infrastructure and products. Youll be working on scalable solutions that process petabytes of data daily serving diverse user personas from front-line operators to corporate leadership. We expect you to bring strong technical acumen to solve difficult problems at scale while maintaining high operational standards and driving innovation in both traditional analytics and AI/ML domains.
Key job responsibilities
Design and implement scalable secure data pipelines and infrastructure using AWS technologies and big data tools
Build and maintain high-performance ETL processes that handle large-scale complex datasets
Architect end-to-end analytical solutions that are highly available stable and cost-effective
Transform raw data into actionable insights through effective data modeling and integration
Implement best practices in data system creation data integrity and documentation
Proactively identify opportunities for process improvement and automation
Partner with business stakeholders to gather requirements and translate them into technical solutions
- 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.
As a Data Engineer youll be building and scaling mission-critical data products that power worldwide operations business this role youll drive technical excellence while building data infrastructure and products. Youll be working on scalable solutions that process petabytes of data daily serving diverse user personas from front-line operators to corporate leadership. We expect you to bring strong technical acumen to solve difficult problems at scale while maintaining high operational standards and driving innovation in both traditional analytics and AI/ML domains.
Key job responsibilities
Design and implement scalable secure data pipelines and infrastructure using AWS technologies and big data tools
Build and maintain high-performance ETL processes that handle large-scale complex datasets
Architect end-to-end analytical solutions that are highly available stable and cost-effective
Transform raw data into actionable insights through effective data modeling and integration
Implement best practices in data system creation data integrity and documentation
Proactively identify opportunities for process improvement and automation
Partner with business stakeholders to gather requirements and translate them into technical solutions
- 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.
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
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