Hexagon Manufacturing Intelligence
Senior Data Engineer
Hexagon Manufacturing Intelligence, Burlington, Massachusetts, us, 01805
SummaryETQ
partof Hexagon Manufacturing Intelligence division is seeking a Senior Data Engineer.Our CompanyFor 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,part ofHexagon , is the leading provider of quality, EHS and compliance management SaaS software, trusted by the world's strongest brands. More than 600 customers globally, spanning industries such as pharmaceuticals, electronics, heavy industry, food and beverage, and medical devices, benefit from ETQ to secure positive brand reputations, enable higher levels of customer loyalty and enhance profitability. ETQ Reliance offers built-in best practices and powerful flexibility to drive business excellence through quality. Only ETQ lets customers configure industry-proven quality processes to their unique needs and business vision. To learn more about ETQ and its various product offerings, visitwww.etq.com.Our EmployeesWe ensure that each employee is not only aware of our strategic vision; they are a part of it.This is because we know that our employees are critical components to ETQ's ever-growing success.Words to describe our culture: caring, driven, integrity, passion, committed, thoughtful, diverse, family oriented, supportive, welcoming, fun!At ETQ we believe deeply in diversity, equity, and inclusion. Quality is best when everyone has a voice. Quality at ETQ is born through diversity, equity, and inclusion in all that we do. Our company celebrates inclusiveness and encourages employees to bring their authentic selves and unique experiences to
ETQ . All our employees add value to our culture, products, and customer experience.Job ResponsibilitiesCollaborate 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, Bl 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, which requires excellent skills in managing customer meetings, phone etiquette, etc.Provide periodic updates for issues on hand, and get them resolved within internal SLAs, to meet internal and external customer satisfaction.Regularly update stories including progress, status, and documentation for projects.Effectively use the different development tools necessary to do the required job. For example: IDE, SQL Editors, Database management tools, BI tools, etc.).Demonstrate high quality technical and business documentation skills.Mentoring team members.
Qualifications
B.S. Degree or higher in Computer Science, Computer Information Systems, Data Science, Artificial Intelligence, Machine Learning or related discipline.You are a passionate, expert data engineer and have a 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 - from understanding requirements and analysis, TDD, design, development, deploying, releasing, and then support.Knowledgeable analytics developer using tools like Tableau, Power BI, Data Cloud, Looker, and Amazon QuickSight, including system configuration, integration via APIs, and performance tuning.Passionate about Agile software development methodology and experienced with best practices.Knowledgeable in ETL and data warehouse development skills including a good understanding and practical application of dimensional modeling and SQL.Experienced in using version control tools, using Cl tools, and automation of the SDLC.Good and proven ability to develop efficient code, factoring cost and performance into development.Excellent data analysis skills, able to troubleshoot and problem solve effectively.Excellent verbal, written communication skills with an ability to converse appropriately with business users and technical teams.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 and effectively in a cross-functional team environment.Self-starter, ability to set priorities, work independently and attain goals.
DesirableKnowledge of MySQL.Knowledge of C# and .NET.Knowledge of scripting languages such as Python.
BenefitsExceptional Medical, Dental, Vision insurancesHealth Savings Accounts with employer contribution (HSA)Flexible Spending Accounts (FSA)401k Plan with generous employer matchGenerous Paid Time Off (PTO)Employee Assistance ProgramPaid Parental LeaveTuition Reimbursement
partof Hexagon Manufacturing Intelligence division is seeking a Senior Data Engineer.Our CompanyFor 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,part ofHexagon , is the leading provider of quality, EHS and compliance management SaaS software, trusted by the world's strongest brands. More than 600 customers globally, spanning industries such as pharmaceuticals, electronics, heavy industry, food and beverage, and medical devices, benefit from ETQ to secure positive brand reputations, enable higher levels of customer loyalty and enhance profitability. ETQ Reliance offers built-in best practices and powerful flexibility to drive business excellence through quality. Only ETQ lets customers configure industry-proven quality processes to their unique needs and business vision. To learn more about ETQ and its various product offerings, visitwww.etq.com.Our EmployeesWe ensure that each employee is not only aware of our strategic vision; they are a part of it.This is because we know that our employees are critical components to ETQ's ever-growing success.Words to describe our culture: caring, driven, integrity, passion, committed, thoughtful, diverse, family oriented, supportive, welcoming, fun!At ETQ we believe deeply in diversity, equity, and inclusion. Quality is best when everyone has a voice. Quality at ETQ is born through diversity, equity, and inclusion in all that we do. Our company celebrates inclusiveness and encourages employees to bring their authentic selves and unique experiences to
ETQ . All our employees add value to our culture, products, and customer experience.Job ResponsibilitiesCollaborate 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, Bl 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, which requires excellent skills in managing customer meetings, phone etiquette, etc.Provide periodic updates for issues on hand, and get them resolved within internal SLAs, to meet internal and external customer satisfaction.Regularly update stories including progress, status, and documentation for projects.Effectively use the different development tools necessary to do the required job. For example: IDE, SQL Editors, Database management tools, BI tools, etc.).Demonstrate high quality technical and business documentation skills.Mentoring team members.
Qualifications
B.S. Degree or higher in Computer Science, Computer Information Systems, Data Science, Artificial Intelligence, Machine Learning or related discipline.You are a passionate, expert data engineer and have a 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 - from understanding requirements and analysis, TDD, design, development, deploying, releasing, and then support.Knowledgeable analytics developer using tools like Tableau, Power BI, Data Cloud, Looker, and Amazon QuickSight, including system configuration, integration via APIs, and performance tuning.Passionate about Agile software development methodology and experienced with best practices.Knowledgeable in ETL and data warehouse development skills including a good understanding and practical application of dimensional modeling and SQL.Experienced in using version control tools, using Cl tools, and automation of the SDLC.Good and proven ability to develop efficient code, factoring cost and performance into development.Excellent data analysis skills, able to troubleshoot and problem solve effectively.Excellent verbal, written communication skills with an ability to converse appropriately with business users and technical teams.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 and effectively in a cross-functional team environment.Self-starter, ability to set priorities, work independently and attain goals.
DesirableKnowledge of MySQL.Knowledge of C# and .NET.Knowledge of scripting languages such as Python.
BenefitsExceptional Medical, Dental, Vision insurancesHealth Savings Accounts with employer contribution (HSA)Flexible Spending Accounts (FSA)401k Plan with generous employer matchGenerous Paid Time Off (PTO)Employee Assistance ProgramPaid Parental LeaveTuition Reimbursement