Data Engineer-Data Warehouse

Key Responsibilities:

Data Engineering & Modeling

• Implement and validate predictive models and maintain statistical models with a focus on big data.
• Develop, test, and deploy data pipelines for cleansing, integration, and transformation.
• Design and implement enterprise search applications such as Elasticsearch and Splunk based on client requirements.

Collaboration & Agile Practices

• Work in an Agile, collaborative environment with scientists, engineers, consultants, and DBAs to apply analytical rigor and statistical methods.
• Partner with teams to solve complex problems and optimize data workflows.

Solution Development & Deployment

• Build reusable programs and scripts for data integration and analytics.
• Develop predictive or prescriptive models and evaluate modeling results.
• Ensure data solutions meet both technical and business requirements.