ShipTech Analytics
Business Intelligence, Data Engineering, transportation and logistics
DataEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer at ShipTech Analytics. Skills: Data engineering, Streaming pipelines, Batch processing. Design and build NRT streaming data pipelines. Build batch data pipelines”
Industry & Context.
Oncall
What They're Looking For.
Must Have
1+ years of data engineering experience, Experience with SQL, Experience with data modeling, Experience with building ETL pipelines, Experience with one or more scripting language
Nice to Have
Experience with big data technologies, Experience with AWS technologies
What You'll Do.
Design and build NRT streaming data pipelines
Build batch data pipelines
Streamline data lifecycle
Partner with stakeholders
Understand requirements
Enable decision-making
Implement dataset enhancements
Improve customer experience
Collaborate with cross-functional teams
Standardize analytics capabilities
Build AI-powered automation
Leverage AWS cloud technologies
Drive continuous improvement
Participate in design discussions
Monitor pipeline health
How You'll Work.
Team & Collaboration
Cross-functional teams; Operations teams; Analytics teams; Stakeholders
Full Job 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 - Design and build scalable near-real-time (NRT) streaming and batch data pipelines supporting Amazon's global transportation network. - Build data products and data tools that streamline the complete data lifecycle including data ingestion, processing, backfill, storage, vending, and operational support modules. - Partner closely with stakeholders across operations and analytics teams to understand requirements, design solutions, and deliver datasets and data tools that enable faster, more informed decision-making - Own data quality and implement enhancements for datasets that enable operational excellence and improve customer experience - Collaborate with cross-functional teams to standardize analytics capabilities and build AI-powered automation - Leverage AWS cloud technologies to transform raw data into actionable metrics - Drive continuous improvement through code reviews, design discussions, operational best practices, and security compliance 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, proc
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