Senior Data Engineer, Engineering

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, 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 CI 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.
• Knowledge of MySQL.
• Knowledge of C# and .NET.
• Knowledge of scripting languages such as Python.