Data Engineer

• Sets goals and objectives for achieving operational results for the team responsible for designing, building, and maintaining robust data systems that enable data analysis and reporting.
• Leads implementing the end-to-end process to ensure that large sets of data are efficiently processed and made accessible for decision-making.
• Oversees the development of data products and solutions using big data and cloud-based technologies, ensuring they are designed and built to be scalable, sustainable, and robust.
• Develops and monitors streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources, transform the data into information, and move to data stores like data lake, data warehouse, and others.
• Reviews existing data systems and architectures to lead identification of areas for improvement and optimization.
• Oversees the preparation of data infrastructure to drive the efficient storage and retrieval of data.
• Reviews and resolves appropriate data formats to improve data usability and accessibility across the organization.
• Partners collaboratively with multi-functional data and advanced analytic teams to capture requirements and ensure that data solutions meet the functional and non-functional needs of various partners.
• Builds complex prototypes to test new concepts and provides guidance to implement data engineering frameworks and architectures that improve data processing capabilities and support advanced analytics initiatives.
• Oversees the development of automated deployment pipelines improving the efficiency of code deployments with fit-for-purpose governance.
• Guides the team to perform data modeling according to the datastore technology to ensure sustainable performance and accessibility.
• Manages team members to achieve the organization’s goals by ensuring productivity, communicating performance expectations, creating goal alignment, giving and seeking feedback, providing coaching, measuring progress and holding people accountable, supporting employee development, recognizing achievement and lessons learned, and developing enabling conditions for talent to thrive in an inclusive team culture.

Manager, Data Engineering

Data Engineer

Azure Data Engineer

Data Engineering – Manufacturing Data

Lead Data Engineer