Hexagon AB
Senior Data Engineer, Engineering
Hexagon AB, Burlington, North Carolina, United States, 27215
ETQ , part of
Hexagon Manufacturing Intelligence
division, is seeking a Senior Data Engineer.Job Responsibilities
Collaborate on system architecture for all data analytics aspects of our enterprise/SaaS product.Develop the data analytics capabilities of the enterprise/SaaS product.Maintain current knowledge of machine learning principles, tools, and techniques.Develop out of the box business intelligence dashboards and applications for data analytics and visualization.Maintain knowledge of modern SaaS-based data analytics architectures, systems, and tools.Develop features of the data analytics product to allow configuration of the visualizations in alignment with configuration of the ETQ applications.Collaborate on the data-related software processes and functions such as ETL processes, data management, ML algorithms, AI data models, etc.Understand and contribute to the architecture and design of transactional, data warehouse, and analytic databases.Collaborate on troubleshooting data-related code issues found through internal testing and customer feedback.Working with other team members (engineers, BI analysts, data scientists, QA) as part of an agile team using Scrum (using JIRA).Develop prototypes and proofs of concepts.Debug applications, trace code, and find and fix bugs as well as identify software flaws and poor implementation, and propose effective solutions.Implement automated test cases that exercise and test the produced code.Handle customer feedback on the delivered projects.Communicate with customers when applicable, to address and troubleshoot reported issues.Provide periodic updates for issues on hand, and get them resolved within internal SLAs.Regularly update stories including progress, status, and documentation for projects.Effectively use the different development tools necessary to do the required job.Demonstrate high quality technical and business documentation skills.Mentor team members.Qualifications
B.S. Degree or higher in Computer Science, Computer Information Systems, Data Science, Artificial Intelligence, Machine Learning or related discipline.Proven track record in delivering data analytics solutions using AI models and pipelines and ML algorithms.Ownership of the full software development lifecycle is important to you.Knowledgeable analytics developer using tools like Tableau, Power BI, Data Cloud, Looker, and Amazon QuickSight.Passionate about Agile software development methodology.Knowledgeable in ETL and data warehouse development skills.Experienced in using version control tools and automation of the SDLC.Good and proven ability to develop efficient code.Excellent data analysis skills.Excellent verbal, written communication skills.Good understanding of data privacy and security considerations.Familiarity with at least one of Amazon Web Services, Azure, or Google Cloud Platform.Familiarity with high-scale cloud architecture and business intelligence and data analytics systems.Ability to handle multiple projects and assignments simultaneously.Self-starter, ability to set priorities, work independently and attain goals.Knowledge of MySQL.Knowledge of C# and .NET.Knowledge of scripting languages such as Python.
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Hexagon Manufacturing Intelligence
division, is seeking a Senior Data Engineer.Job Responsibilities
Collaborate on system architecture for all data analytics aspects of our enterprise/SaaS product.Develop the data analytics capabilities of the enterprise/SaaS product.Maintain current knowledge of machine learning principles, tools, and techniques.Develop out of the box business intelligence dashboards and applications for data analytics and visualization.Maintain knowledge of modern SaaS-based data analytics architectures, systems, and tools.Develop features of the data analytics product to allow configuration of the visualizations in alignment with configuration of the ETQ applications.Collaborate on the data-related software processes and functions such as ETL processes, data management, ML algorithms, AI data models, etc.Understand and contribute to the architecture and design of transactional, data warehouse, and analytic databases.Collaborate on troubleshooting data-related code issues found through internal testing and customer feedback.Working with other team members (engineers, BI analysts, data scientists, QA) as part of an agile team using Scrum (using JIRA).Develop prototypes and proofs of concepts.Debug applications, trace code, and find and fix bugs as well as identify software flaws and poor implementation, and propose effective solutions.Implement automated test cases that exercise and test the produced code.Handle customer feedback on the delivered projects.Communicate with customers when applicable, to address and troubleshoot reported issues.Provide periodic updates for issues on hand, and get them resolved within internal SLAs.Regularly update stories including progress, status, and documentation for projects.Effectively use the different development tools necessary to do the required job.Demonstrate high quality technical and business documentation skills.Mentor team members.Qualifications
B.S. Degree or higher in Computer Science, Computer Information Systems, Data Science, Artificial Intelligence, Machine Learning or related discipline.Proven track record in delivering data analytics solutions using AI models and pipelines and ML algorithms.Ownership of the full software development lifecycle is important to you.Knowledgeable analytics developer using tools like Tableau, Power BI, Data Cloud, Looker, and Amazon QuickSight.Passionate about Agile software development methodology.Knowledgeable in ETL and data warehouse development skills.Experienced in using version control tools and automation of the SDLC.Good and proven ability to develop efficient code.Excellent data analysis skills.Excellent verbal, written communication skills.Good understanding of data privacy and security considerations.Familiarity with at least one of Amazon Web Services, Azure, or Google Cloud Platform.Familiarity with high-scale cloud architecture and business intelligence and data analytics systems.Ability to handle multiple projects and assignments simultaneously.Self-starter, ability to set priorities, work independently and attain goals.Knowledge of MySQL.Knowledge of C# and .NET.Knowledge of scripting languages such as Python.
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