Data Engineer

• Design, develop, optimize, and automate data pipelines that blend and transform data across different sources to help drive business intelligence, data science, and self-service data solutions.
• Work closely with data scientists and data visualization teams to understand data requirements to ensure the availability of high-quality data for analytics, modelling, and reporting.
• Build pipelines that source, transform, and load data that’s both structured and unstructured keeping in mind data security and access controls.
• Explore large volumes of data with curiosity and conviction.
• Contribute to the strategy and architecture of data management systems and solutions.
• Proactively troubleshoot and resolve data-related and performance bottlenecks in a timely manner.
• Be open to learning and working on emerging technologies in the data engineering, data science and cloud computing space.
• Have the curiosity to interrogate data, conduct independent research, utilize various techniques, and tackle ambiguous problems.

Senior Data Engineer

Lead Data Engineer – Data & Analytics, MS Fabric

Data Engineer

Vice President – Data Engineering, Analytics

Senior Azure/Fabric Data Engineer