Job Description
Join TITANS as a Data Engineer II to build the data and analytics backbone powering Amazon's NA Fulfillment 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 NA Fulfilment 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
About the team
The Data Engineer II will support TITANS' expanded data engineering requirements driven by integrations with CBS , TRANSCAPE and other external systems that power downstream data pipelines. This role focuses on developing and optimizing data pipelines, ensuring efficient data flow, and maintaining reliability across interconnected systems as TITANS' scope evolves from primarily software engineering to significant data engineering responsibilities.
Basic Qualifications
- 3+ years of data engineering experience
- 4+ years of SQL experience
- Experience with data modeling, warehousing and building ETL pipelines
Preferred Qualifications
- 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)
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