Amazon Transportation Services Private Limited
Business Intelligence, Data Engineering, operations
DataEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer at Amazon Transportation Services Private Limited. Skills: Data engineering, Data pipelines, AWS infrastructure. Design data pipelines. Build data pipelines”
What You'll Achieve.
Enable high-quality insights; Power high-impact decisions
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
1+ years of data engineering experience, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines, Experience with SQL
Nice to Have
Bachelor's degree in Computer Science, Bachelor's degree in Computer Engineering, Bachelor's degree in Information Management, Bachelor's degree in Information Systems, Knowledge of AWS Infrastructure, Knowledge of writing SQL queries, Knowledge of optimizing SQL queries
What You'll Do.
Design data pipelines
Maintain data pipelines
Support compliance-related data processes
Manage AWS data infrastructure
Optimize AWS data infrastructure
Develop data quality framework
Monitor data accuracy
Validate data accuracy
Improve data accuracy
Implement data modeling best practices
Implement code quality best practices
Implement CI/CD best practices
Implement monitoring best practices
How You'll Work.
Team & Collaboration
Cross-functional teams; Product teams; Program teams; Supply chain operations
Full Job Description
Amazon Business (AB) is redefining B2B eCommerce by offering business customers the same selection, pricing, and convenience that millions of consumers enjoy today. The WW Ops Amazon Business team is building the next generation of operations and supply chain technology to support AB’s rapid global expansion: from bulk and consolidated deliveries to palletized shipments and new services tailored to business needs. As a Data Engineer on this team, you will design and scale the data architecture that powers AB Ops worldwide, enabling high-quality, real-time insights for Products, Programs, and Supply Chain operations. You will play a critical role in shaping the foundational data systems that will drive the future of Amazon’s B2B supply chain. Key job responsibilities As a Data Engineer within AB Ops, you will build and operate data systems that support one of the world’s most complex and rapidly scaling B2B supply chains. You will work daily with large-scale distributed datasets, AWS technologies such as Redshift, and cross-functional teams to ensure that our data is accurate, timely, compliant, and ready to power high-impact decisions across Amazon Business. You will: - Design, build, and maintain reliable, scalable, and efficient data pipelines supporting critical reporting mechanisms such as the Weekly Business Review (WBR) and Product/Program metrics. - Support compliance-related data processes (e.g., DMA, OD3) and ensure that all data systems and pipelines adhere to Amazon’s regulatory and security standards. - Manage and optimize AWS data infrastructure, including Redshift clusters, S3 data lakes, ETL jobs, and orchestration tools, ensuring high performance and cost efficiency. - Develop robust data quality framework to continuously monitor, validate, and improve the accuracy, completeness, and timeliness of all data delivered to stakeholders. - Implement best practices for data modeling, code quality, CI/CD, and monitoring to maintain a stable long-term archit
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