The role serves as a crucial link between Data Engineering and Data Science to transform complex industrial asset data into high-impact analyses
Job Summary
The role serves as a crucial link between Data Engineering and Data Science to transform complex industrial asset data into high-impact analyses.
Responsibilities include building automated data pipelines that ensure data quality and governance from SCADA systems and energy markets to consumption tools.
Candidates will act as local solution owners and database owners within the E2E Optimization Center to maximize value from deployed digital solutions.
Matching Summary
The role serves as a crucial link between Data Engineering and Data Science to transform complex industrial asset data into high-impact analyses.
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
Python R SQL scripting expertise
SCADA and PI suite experience
Automated scalable data pipeline construction
Nice-to-have
Proactive problem-solving mindset
Cloud platform knowledge AWS Azure
Strong organizational and prioritization skills
Key Requirements
Bac+5 engineering degree or Master in Data Engineering
Confirmed experience in Data Analyst Scientist or Engineer roles