Data Engineer II, OTS - Data ANCHOR Team

Key job responsibilities

• 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 benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.

• Medical, Dental, and Vision Coverage
• Maternity and Parental Leave Options
• Paid Time Off (PTO)
• 401(k) Plan

Basic 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
• 3+ 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 Qualifications

• 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