Data Engineer

Responsibility:

In this position, you'll convert large amounts of data into actionable insights in the LGUS Equipment Health Center (EHC). Together with rotating, electrical, and process experts, you will continuously improve advanced diagnostics and health analytical systems

Purpose:

The primary focus will be in developing scalable MS-SQL, GE historian, Tableau-based and Power BI applications building on existing or new code for data mining, statistical analysis, and prediction systems. With these applications, the EHC will continuously monitor and improve the reliability, efficiency, maintenance, total lifetime cost and safety of plant equipment.

Principle Responsibilities:

• Lead, develop and manage Equipment Health Center KPIs.

• Analyze operational data from multiple sources and transform them into information by leveraging a variety of statistical techniques such as segmentation, regression, survival analysis, principal component analysis, scenario and sensitivity analysis, neural networks, and machine learning.

• Create visualizations and/or interactive dashboards for displaying results to the EHC rotating and electrical experts using open-source and commercially available visualization and dashboard tools.

• Work with discipline experts to develop and build predictive models & new predictive technologies.

• Cooperate closely with CoE software and tool developers on the further development of existing predictive technologies and the development of new ones.

• Work with regional reliability teams to set implementation goals of predictive technology tools, assist with tool implementation and track the progress.

• Collaborate with subject matter experts and productivity team to evaluate and track the benefits of predictive technologies.

• Research and prioritize AI use cases.

• Coordinate external data service and development with providers.

• Support EHC engineers and consultants in the process of extracting, transforming and loading data to ensure proper data delivery and data quality.

• Conduct regular market research for efficient remote monitoring and data analytics methods to continuously improve EHC efficiency and effectiveness.

• Build data storytelling tools for communication efforts.

• Train/coach team members and peers and actively share expertise.

Key Interfaces:

• Predictive technologies global experts (CoE).

• Rotating and electrical equipment specialists.

• Data science and digital team peer groups.

• Automation and operational technology specialists.

• Regional reliability and maintenance peer groups.

• Information technology team and cloud services.

• Linde productivity team

Key Behaviors:

• Strong in interdisciplinary teamwork.

• Potential to act as a Change Manager and catalyst for changes.

• Demonstrated ability to challenge status quo and improve existing processes/programs.

• Strong in implementation and organization.

• Willingness to travel to production sites as needed.

Desired Skills:

• Local Candidates Preferred

• Strong analytical and quantitative skills.

• Experience with Microsoft tools and SharePoint development.

• Excellent communication skills in English.

• Strong technical aptitude with the ability to analyze data and interpret information.

• Knowledge of predictive modeling, test design, and database querying.

• Strong intellectual curiosity with a desire to continue learning, exploring, improving, and revising methods of data analysis.

• Experience with VBA code or equivalent and SQL (MS/T-SQL) including stored procedures, indexes, jobs, etc.

• Familiarity with data visualization tools (e.g. Tableau, D3, SSRS, Power BI etc.) is a plus.

• Familiarity with scripting and data analysis programming languages (e.g. Python, R, etc.).

• Familiarity with plant-wide industrial Historian (e.g. GE Proficy).

• Willingness to build knowledge of theory and operation of rotating and electrical equipment.

Required Qualifications/Experience:

Degree must be from a school that is accredited by an accrediting agency recognized by the Secretary of Education of the U.S. Department of Education or equivalent program from an international university.

• Bachelor's or master's degree in computer science or engineering and 2+ years of relevant work experience in a related field.

• First-hand experience in predictive technologies and tool development.

About Linde:

Linde is a leading global industrial gases and engineering company with 2024 sales of $33 billion. We live our mission of making our world more productive every day by providing high-quality solutions, technologies and services which are making our customers more successful and helping to sustain and protect our planet.

Culture:

At Linde, we strive to create a work environment that treats all employees with respect, supports new thoughts and ideas, encourages growth and development, celebrates our differences, and embraces inclusion. Linde is committed to remaining an employer of choice for the diverse, ever-increasing pool of global talent.

For more information about the company and its products and services, please visit www.linde.com.

Benefits:

Linde Gases US offers competitive compensation and an outstanding benefits package. Enjoy access to health, dental, disability, and life insurance, paid holidays and vacation, 401(k) matching, pension benefits, an employee discount program, and opportunities for educational and professional growth. Additional compensation may vary depending on the position and organizational level. Build your future with us while making an impact every day!

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, pregnancy, sexual orientation, gender identity or expression, or any other reason prohibited by applicable law.

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