Ring & DuChateau Consulting Engineers

Data Engineer II, AWS Analytics Engineering

Seattle, Washington, USA · Mid

Sponsorship not specified$132k-$179kDetected 9 hours ago

PythonJavaGoC++C#RubyData StructuresSQLRedshiftAWSMachine LearningData EngineeringStatisticsProcurementOnboardingEHR/EMRLeadership

About the role

We operate at massive scale - processing petabytes of data daily through thousands of jobs consisting of transformations, reporting queries, ingestions, and infrastructure management scripts.
You will work on event-driven architectures, self-registration mechanisms, and configuration-driven onboarding so that new data sources are ingested automatically, reliably, and with full lineage and audit trails.
The base salary range for this position is listed below.

automated data lineage tracking, retention policy enforcement, and regulatory audit support Amazon is an
Our inclusive culture empowers Amazonians to deliver the best results for our customers.
If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

5+ years of data engineering experience.
3+ years of SQL experience.
Experience with data modeling, warehousing and building ETL pipelines.
Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust.
Experience with enterprise-scale infrastructure or development-based cloud programs/projects in a related industry.
Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent.
Experience implementing data governance controls: access management, encryption, data classification, and audit logging

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).
Experience with AWS services including S3, Redshift, EMR and RDS.
Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage.
Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics,

Your Amazon package will include sign-on payments and restricted stock units (RSUs).
Learn more about our benefits at https://amazon.jobs/en/benefits.

equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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