Slalom is seeking a hands-on Data Engineer to support a modern Databricks + Snowflake + Azure Data Factory EDW ecosystem. You will build and optimize data pipelines, monitor production workloads, and resolve incidents in a highly collaborative, cross-regional
Sphera is a leading global provider of enterprise software and services that enables companies to manage and optimize their environmental, health, safety and sustainability. Our mission is to create a safer, more sustainable and productive world.
Data Engineer, Senior The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data
A position at White Cap isn’t your ordinary job. You’ll work in an exciting and diverse environment, meet interesting people, and have a variety of career opportunities. The White Cap family is committed to Building Trust
Who are we, and what do we do? At Corteva Agriscience, you will help us grow what’s next. No matter your role, you will be part of a team that is building the future of agriculture
Senior Semantic Model Developer/Programmer Analyst IV (Power BI / Fabric / Tabular) - Workforce Operations - (2604900) Description Minimum Qualifications: Bachelors degree or equivalent in a related field; 4 years of related experience. Job Description: To
Company Description Why join Avery Dennison We are a global materials science and digital identification solutions company with locations in over 50 countries, and approximately 35,000 employees worldwide. As a science and innovation company, we believe
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side