The Data Engineer at Technology Innovation Institute will be responsible for building data systems and pipelines for acquiring, analyzing, and assessing data. They will interpret trends and patterns in datasets, combine raw data from different sources, explore ways to enhance data quality and reliability, identify opportunities for data acquisition, perform statistical analysis on big data sets, manage project infrastructure and the development of data-related projects. The role also involves working with colleagues to develop machine learning models, deploying scalable tools and services to handle data for feeding large ML Models. Additionally, the Data Engineer will identify and evaluate new technologies to improve performance of the data pipeline, apply software engineering best practices to data engineering tasks, communicate with stakeholders in the ecosystem, contribute to technology transfers through implementation of research findings into proof of concept (PoC), and stay updated on industry standards.
Key Job Requirements:Seniority Level: Managerial-Level
Job Functions: Data Science & Analytics
Industries : Information Technology
