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Data Engineer II, OTS - Data ANCHOR Team

Ama*** · Austin, TX, United States
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Austin, TX, United StatesOnsite
Remuneration
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Location
Austin, TX, United States
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Job summary

DESCRIPTION Join the OTS Data ANCHOR team to build strategic data infrastructure powering Amazon's Operations Technology ecosystem. Our team provides critical data infrastructure support for OpsTech IT, supporting Amazon's global customer commitment.

Benefits

That support you and eligible family members, including domestic partners and thThat generally apply to regular, full-time employees include:Medical, Dental, and Vision CoverageMaternity and Parental Leave OptionsPaid Time Off (PTO)401(k) PlanIf you are not sure that every qualification on the list above describes you exaAt Amazon, we value people with unique backgrounds, experiences, and

Qualifications

  • 3+ years of data engineering experience
  • 3+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
  • 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience working on and delivering end to end projects independently
  • PREFERRED
  • Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
  • Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
  • Knowledge of batch and streaming data architectures like Kafka, Kinesis, Flink, Storm, Beam
  • Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
  • 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.

Responsibilities

  • You will contribute to Data Ops and AI intelligent data practices — including data versioning, pipeline monitoring, and model retraining data support — and help establish engineering best practices within the team.
  • Design, build, and maintain production-grade ETL/ELT pipelines and big data infrastructure supporting OTS operational intelligence.
  • Build feature engineering workflows and ML-ready data pipelines that support Data Science experimentation and production model serving.
  • Contribute to data governance and quality standards across analytical and ML data products.
  • Support implementation of GenAI solutions for automated reporting, diagnostic, predictive, and prescriptive analytics.
  • Build and maintain semantic layers and dashboard data models that power worldwide operations business decisions.
  • Collaborate with Program Managers, BI teams, ML Engineers, Data Scientists, and operational stakeholders to prioritize work aligned with OTS business goals.
  • Follow and contribute to best practices for data engineering, including code reviews, testing, monitoring, and documentation.
  • A day in the life
  • Amazon offers a full range of

Degrees

AssociateDegreeMaster

Industry

AutomotiveEnergyMedia