Hexagon Manufacturing Intelligence
Senior Data Engineer
Hexagon Manufacturing Intelligence, Burlington, Massachusetts, us, 01805
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.Location: United States, Massachusetts, BurlingtonDate: Sep 21, 2024Summary
ETQ , part of
Hexagon Manufacturing Intelligence
division, is seeking a Senior Data Engineer.About Us
For more than 30 years, we have been at the service of quality-driven people. Every day, we help people and organizations push further and make change happen by offering them the right technology and knowledge to manage risk and protect lives.ETQ
is the leading provider of quality, EHS, and compliance management SaaS software, trusted by the world's strongest brands. More than 600 customers globally benefit from ETQ to secure positive brand reputations, enable higher levels of customer loyalty, and enhance profitability. To learn more about ETQ and its various product offerings, visit
www.etq.com .Our Employees
We ensure that each employee is not only aware of our strategic vision; they are a part of it. Words to describe our culture: caring, driven, integrity, passion, committed, thoughtful, diverse, family-oriented, supportive, welcoming, and fun!At
ETQ , we believe deeply in diversity, equity, and inclusion. Quality is best when everyone has a voice. Our company celebrates inclusiveness and encourages employees to bring their authentic selves and unique experiences to
ETQ .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 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.Work 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 ability to develop efficient code, factoring cost and performance into development.Excellent data analysis skills, able to troubleshoot and problem solve effectively.Excellent verbal and 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.Ability to handle multiple projects and assignments simultaneously.Self-starter, ability to set priorities, work independently and attain goals.Knowledge of MySQL, C#, .NET, and scripting languages such as Python.Health Savings Accounts with employer contribution (HSA)Helping diverse candidates find great careers is our goal. The information you provide here is secure and confidential.We are now directing you to the original job posting. Please apply directly for this job at the employer’s website.
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ETQ , part of
Hexagon Manufacturing Intelligence
division, is seeking a Senior Data Engineer.About Us
For more than 30 years, we have been at the service of quality-driven people. Every day, we help people and organizations push further and make change happen by offering them the right technology and knowledge to manage risk and protect lives.ETQ
is the leading provider of quality, EHS, and compliance management SaaS software, trusted by the world's strongest brands. More than 600 customers globally benefit from ETQ to secure positive brand reputations, enable higher levels of customer loyalty, and enhance profitability. To learn more about ETQ and its various product offerings, visit
www.etq.com .Our Employees
We ensure that each employee is not only aware of our strategic vision; they are a part of it. Words to describe our culture: caring, driven, integrity, passion, committed, thoughtful, diverse, family-oriented, supportive, welcoming, and fun!At
ETQ , we believe deeply in diversity, equity, and inclusion. Quality is best when everyone has a voice. Our company celebrates inclusiveness and encourages employees to bring their authentic selves and unique experiences to
ETQ .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 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.Work 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 ability to develop efficient code, factoring cost and performance into development.Excellent data analysis skills, able to troubleshoot and problem solve effectively.Excellent verbal and 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.Ability to handle multiple projects and assignments simultaneously.Self-starter, ability to set priorities, work independently and attain goals.Knowledge of MySQL, C#, .NET, and scripting languages such as Python.Health Savings Accounts with employer contribution (HSA)Helping diverse candidates find great careers is our goal. The information you provide here is secure and confidential.We are now directing you to the original job posting. Please apply directly for this job at the employer’s website.
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