Senior Process Data Engineer

3 months ago

Old Toronto, Canada Lyons Consulting Group Full time

Job Description

Senior Process Data Engineer

Job Location: Toronto

Key Responsibilities
  1. Partner with internal stakeholders from multiple departments to identify opportunities for applying data engineering, machine learning and AI solutions for a new flu vaccine manufacturing facility.
  2. Exploit opportunities to leverage manufacturing data to develop data engineering and machine learning (ML) models and real-time process monitoring approaches.
  3. Partner with the MSAT Data Science and Digital teams to apply re-usable and efficient data engineering solutions for new and legacy facilities, and when developing process analytics solutions.
  4. Translate data analytics outcomes to non-scientific audiences, champion data-driven decision making and empower end-users to perform simple analytics.
  5. Support various stakeholders to ensure timely delivery of data engineering, visualization, ML and AI capabilities. Promote a strong quality mindset with a focus on data integrity, validation, and data governance.
Required Skills
  1. BSc or MSc in Process Engineering, Computer Science, or a similar technical field with 3-5 years of industry relevant experience.
  2. Strong coding skills in Python, R, and SQL and working with data historian systems, including PI Asset Framework (AF) & PI Event Frames – infrastructure, Manufacturing Execution System (MES) and IoT solutions.
  3. Knowledge of data analytics, and familiarity with Python libraries such as Pandas, NumPy and Scikit-Learn.
  4. High level of familiarity using platforms such as Snowflake, AWS, Azure, Github and no-code/low-code applications such as Dataiku.
  5. Strong aptitude in developing data visualization platforms (Power BI, R Shiny, Streamlit, etc.).
Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

  1. Collaborating with teams of creative, fun, and driven colleagues.
  2. Flexible work options enabling time and location-based flexibility.
  3. Company-provided home office equipment.
  4. Virtual collaboration and productivity tools to enable hybrid teams.
  5. Comprehensive benefits program (Health, Welfare, Retirement and Paid time off).
  6. Other perks and wellness benefits like discount programs, and gym/studio access.
  7. Paid Parental Leave and coaching, baby welcome gift, and family care/illness days.
  8. Back-up childcare/elder care, childcare discounts, and subsidized virtual tutoring.
  9. Tuition assistance and weekly hot skill development opportunities.
  10. Experiential, high-impact learning series events.
  11. Access to mental health resources and mindfulness programs.
  12. Access to join Capgemini Employee Resource Groups around communities of interest.
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