Senior Process Data Engineer
4 weeks ago
We are seeking a highly skilled Senior Process Data Engineer to join our team.
The ideal candidate will have a strong background in data engineering, machine learning, and AI, with experience in applying these technologies to manufacturing data.
Key Responsibilities- Collaborate with internal stakeholders to identify opportunities for data-driven decision making and process improvement.
- Develop and implement data engineering solutions for real-time process monitoring and analytics.
- Partner with data science and digital teams to leverage manufacturing data and develop reusable data engineering solutions.
- Communicate complex data analytics outcomes to non-technical stakeholders and champion data-driven decision making.
- Ensure timely delivery of data engineering, visualization, and AI capabilities, with a focus on data integrity and governance.
- Bachelor's or Master's degree in Process Engineering, Computer Science, or a related field, with 3-5 years of industry experience.
- Strong coding skills in Python, R, and SQL, with experience working with data historian systems and IoT solutions.
- Knowledge of data analytics and familiarity with Python libraries such as Pandas, NumPy, and Scikit-Learn.
- High level of familiarity with platforms such as Snowflake, AWS, Azure, and no-code/low-code applications like Dataiku.
- Strong aptitude in developing data visualization platforms.
We offer a competitive salary and benefits package, as well as opportunities for professional growth and development.
Join our team and contribute to the development of innovative data engineering solutions that drive business success.
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