Amazon Kuiper Manufacturing Enterprises LLC
Technology
DataEngineerIII,KuiperAIFoundations
“Data Engineer III, Kuiper AI Foundations at Amazon Kuiper Manufacturing Enterprises LLC. Skills: Data Lakehouse, Analytics layer, Vector database, AI capabilities. Architect and implement scalable S3-based Data Lakehouse. Unify structured and unstructured data”
What You'll Achieve.
Achieve low single-digit-second query responses; Support agentic AI capabilities; Deliver high-quality internet service; Deliver AI capabilities to customers
Industry & Context.
Query optimization; Hybrid search strategies
U. S. citizen or national, U. S. permanent resident, Lawfully admitted into the U. S. as a refugee, Lawfully admitted into the U. S. as granted asylum
What They're Looking For.
Must Have
5+ years data engineering experience, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines, Experience with SQL, Experience in Python, Experience in Java, Experience in Scala, Experience in NodeJS, Experience mentoring team members
Nice to Have
Experience with Hadoop, Experience with Hive, Experience with Spark, Experience with EMR
What You'll Do.
Architect and implement scalable S3-based Data Lakehouse
Unify structured and unstructured data
Architect and implement scalable OLAP-based analytics layer
Establish metadata management
Automate data classification
Automate lineage tracking
Design standardized data ingestion patterns
Enforce data quality controls
Implement validation gates
Architect centralized metrics repository
Implement robust data quality frameworks
Implement staging-first policies
Implement automated validation pipelines
Design extensible metrics schemas
Optimize for AI retrieval patterns
Develop intelligent orchestration for metrics generation
Provide comprehensive audit trails
Lead design of semantic data models
Balance analytical performance
Implement cross-domain federated query capabilities
Apply sophisticated query optimization techniques
Architect globally distributed vector database infrastructure
Manage billions of embeddings
Achieve consistent sub-100ms retrieval times
Design and implement hybrid search strategies
Combine dense vectors with sparse representations
Establish automated compliance validation frameworks
Ensure data handling meets security standards
Build new cloud services
Facilitate Kuiper AI Foundations
Orchestrate Kuiper AI Foundations
Enable intelligent software operation
Design low-latency architectures
Design highly scalable architectures
How You'll Work.
Team & Collaboration
Across boundaries
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