Bitbucket, ChatGPT, Data Analytics, Data Engineering, Data pipelines, Data science techniques, Effective communication skills, ETL frameworks, HDFS, Illustrator, Looker, Machine learning techniques, NoSQL, Planning and organization, PowerBI, PySpark, PyTorch, Scikit-learn, SPARK Programming, Statistics, Tableau, TensorFlow
Are you ready to help us make the future?
Join a team that is elevating our strategy to drive advanced analytics and visualization tools across the Commercial enterprise. In this role, Data Engineer – Commercial, you will design, implement, and manage the data architecture, systems, and processes to effectively collect, store, process and analyze high volume, high dimensional data to provide strategic insight into complex business problems. This will involve creating and maintaining scalable, efficient, and secure data pipelines, data warehouses, and data lakes. You need to ensure consistency in data quality and availability for analysis and reporting including compliance with data governance and security standards.
Duties and Responsibilities
YOU MUST HAVE
WE VALUE
Honeywell International Inc. is an American publicly traded, multinational conglomerate headquartered in Charlotte, North Carolina. It primarily operates in four areas of business: aerospace, building technologies, performance materials and technologies, and safety and productivity solutions.
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