Ops Engineer Jobs

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4d ago

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

Amazon.com Services LLC Austin, TX

Austin, TX

4d ago

Full time Analytics Cxi Data

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Job Description

An on-site Data Engineer II role in Austin, Texas invites you to join Amazon's OIS/CXI Analytics team within the Ops Tech Solution Network Dev group. The role centers on designing and maintaining scalable data pipelines and ML-ready data infrastructure to power OpsTech operations and GenAI initiatives. Collaboration with cross-functional stakeholders is key to delivering production-grade data solutions that support global operations.

The following scope outlines the responsibilities, requirements, technologies, and benefits associated with this position.

Responsibilities

Design, build, and maintain production-grade ETL/ELT pipelines and big data infrastructure supporting OTS operational intelligence.
Create feature engineering workflows and ML-ready data pipelines that enable Data Science experimentation and production model serving.
Contribute to data governance and quality standards across analytical and ML data products.
Support the implementation of GenAI solutions for automated reporting, diagnostics, predictive, and prescriptive analytics.
Develop 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+ year of developing and operating large-scale BI data structures using ETL/ELT processes.
1+ year of developing and operating large-scale BI data structures using OLAP technologies.
1+ year of developing and operating large-scale BI data structures using data modeling.
1+ year of developing and operating large-scale BI data structures using SQL.
1+ year of developing and operating large-scale BI data structures using Oracle.
Experience with data modeling, warehousing, and building ETL pipelines.
Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent.

Technologies

Amazon Redshift
Amazon S3
AWS Glue
AWS EMR
Amazon Kinesis
Amazon Kinesis Data Firehose
AWS Lambda
IAM (Identity and Access Management)
SQL
Oracle

Benefits

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

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