Data Product Engineer

Design, develop and maintain reusable and scalable data products, data models, and end-to-end pipelines for ingestion, transformation, integration, and delivery. 

Contribute to enterprise data platforms and shared services by implementing reusable engineering patterns, frameworks, and automation capabilities. 

Improve scalability, performance, reliability and operational efficiency, and support integration between enterprise systems and analytical platforms. 

Embed data quality, automated testing, validation, monitoring and observability into pipelines and data products. 

Monitor data availability and operational stability, investigate issues, and implement sustainable corrective solutions. 

Apply modern software engineering practices, including source control, code reviews, automated testing, CI/CD, DevOps and DataOps. 

Implement technical governance requirements for metadata, lineage, documentation, access controls, security and compliance. 

Collaborate with architects, analytics and AI teams, business stakeholders and source-system teams throughout solution design and delivery.