Data Engineering Scientist at Maya HTT
10 hours ago
Montreal, Quebec, Canada
Maya HTT
Full-time
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Transform industrial data into actionable insights as a Data Engineering Scientist with Maya HTT. Collaborate with experts and streamline data pipelines to empower AI and machine learning solutions.
In this role, you'll work with a team of data scientists and industry specialists, focusing on operational technologies and various data types. Your expertise will be crucial in aligning and merging data for ML-Ops systems to tackle complex industrial use cases effectively.
Key Responsibilities: • Collaborate with data scientists on data pipelines • Utilize Aveva PI, EF, and similar tools • Ensure agile data validation and merging processes • Define and optimize data quality metrics • Experiment with and optimize data pipeline methods
Requirements: • Bachelor’s, Master’s, or PhD degree • Proficiency in data engineering and data mining • Experience with Aveva PI and Azure IoT • Strong scripting skills in Python and SQL • Excellent communication and teamwork skills
Utilize data engineering and analytics to drive impactful industrial solutions with Maya HTT’s innovative team.
In this role, you'll work with a team of data scientists and industry specialists, focusing on operational technologies and various data types. Your expertise will be crucial in aligning and merging data for ML-Ops systems to tackle complex industrial use cases effectively.
Key Responsibilities: • Collaborate with data scientists on data pipelines • Utilize Aveva PI, EF, and similar tools • Ensure agile data validation and merging processes • Define and optimize data quality metrics • Experiment with and optimize data pipeline methods
Requirements: • Bachelor’s, Master’s, or PhD degree • Proficiency in data engineering and data mining • Experience with Aveva PI and Azure IoT • Strong scripting skills in Python and SQL • Excellent communication and teamwork skills
Utilize data engineering and analytics to drive impactful industrial solutions with Maya HTT’s innovative team.