Data Engineer II, OIS/CXI Analytics, Ops Tech Solution Network Dev

## 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 selections. - Partner 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. ## Requirements - 3+ years of data engineering experience - 1+ 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 OLAP technologies experience - 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience - 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience - 1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience - Experience with data modeling, warehousing and building ETL pipelines - Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent ## Nice to Have - 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) ## Benefits Amazon offers a full range of benefits that support you and eligible family members, including domestic partners. 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. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!