ShipTech Analytics
Transportation
DataEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer at ShipTech Analytics. Skills: Data engineering, ETL, Data pipelines, AWS. Design scalable NRT streaming data pipelines. Design scalable batch data pipelines”
What You'll Achieve.
Empower operations teams worldwide; Deliver critical insights; Enable faster decision-making; Enable more informed decision-making; Enable operational excellence; Improve customer experience; Deliver automated insights
Industry & Context.
Clarifying ambiguities
Oncall
What They're Looking For.
Must Have
3+ years of data engineering experience, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines, Experience with SQL, Experience in at least one modern scripting or programming language, Experience building/operating highly available, distributed systems, Experience with data extraction, Experience with data ingestion, Experience with data processing of large data sets
Nice to Have
Experience with AWS technologies, Experience with non-relational databases, Knowledge of batch data architectures, Knowledge of streaming data architectures
What You'll Do.
Design scalable NRT streaming data pipelines
Design scalable batch data pipelines
Streamline data ingestion
Streamline data processing
Streamline data backfill
Streamline data storage
Streamline data vending
Build operational support modules
Partner with stakeholders
Understand requirements
Implement enhancements for datasets
Collaborate with cross-functional teams
Standardize analytics capabilities
Build AI-powered automation
Leverage AWS cloud technologies
Transform raw data into actionable metrics
Drive continuous improvement
Participate in design discussions
Follow operational best practices
Ensure security compliance
Monitor pipeline health
How You'll Work.
Team & Collaboration
Stakeholders across operations; Analytics teams; Cross-functional teams; Software engineers; TPMs; SDEs; Cross-functional partners; Collaboration across geographies
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 II, 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, pro
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