Description Join ShipTech Analytics (STA) as a Data Engineer to build the data and analytics backbone powering Amazon's global transportation network. You'll contribute to our vision of building an intelligent, autonomous, and scalable performance management and decision support system across Amazon Transportation.
As a Data Engineer I, you'll work on building standardized data solutions that empower operations teams worldwide. You'll develop both near-real-time (NRT) streaming pipelines and batch processing pipelines that deliver critical insights for decision-making. You'll also build data tools that enable self-service analytics and automate operational tasks, while contributing to innovative AI-powered solutions delivering automated insights across the transportation network.
Key job responsibilities
A day in the life
You work backwards from what stakeholders need, clarifying ambiguities and building data products and tools. Throughout the day, you're writing code for data pipelines and building tools that handle ingestion, processing, storage, and vending alongside software engineers.
Some days you're in design discussions about data infrastructure, pipelines and tools.
Beyond coding, you're documenting datasets, tools and runbooks, and participating in code reviews. When oncall, you monitor the pipeline health.
What makes the role interesting is the variety - you're partnering with stakeholders, TPMs, SDEs building scalable data pipelines and tools that directly affect how Amazon's transportation network operates.
About The Team ShipTech Analytics serves as the data and analytics backbone for Amazon's global transportation network. The team builds standardized data solutions that streamline analytics and enable faster decision-making for operations teams worldwide. Team members collaborate with cross-functional partners to deliver data products and tools.
The team is modernizing systems, building near-real-time architectures, and building AI-powered automation. Team members have opportunities to mentor others, prototype new ideas , and shape the future of the data analytics. The team values collaboration across geographies with members in multiple locations working together to serve global operations.
Basic Qualifications
Preferred Qualifications
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 https://amazon.jobs/content/en/how\-we\-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Company - ADCI HYD 13 SEZ
Job ID: A3192579