Sr. Data Engineer - Manufacturing Analytics - remote

Core Responsibilities :

Develop and iterate on analytical frameworks to evaluate capacity, throughput, and system constraints across potato fries production stages.

Collaborate closely with plant teams, engineering, and insights teams to validate assumptions, refine models, and support data-driven decision-making.

Translate complex datasets into actionable insights through impactful visualizations.

Build tools and dashboards to monitor key performance metrics and enable self-service analytics.

Key Skills & Qualifications :

Technical & Analytical Proficiency

Strong command of Python for data analysis and modeling.

Experience working with time-series and operational datasets.

Familiarity with statistical methods and basic machine learning techniques.

Data Visualization & Communication

Proficient in visualization tools such as Python libraries and Power BI.

Ability to present data findings in clear, concise, and actionable formats.

Skilled in storytelling through presentations for both technical and non-technical audiences.

Manufacturing Domain Acumen

Interest or experience in manufacturing, operations, or industrial systems (e.g., refrigeration, production lines, capacity planning).

Ability to understand plant operations and contextualize analysis within process flows and constraints.

Problem Solving & Initiative

Comfortable tackling ambiguous problems and structuring analytical approaches.

Experience designing or enhancing analytical frameworks from scratch.

Communication & Stakeholder Engagement

Strong written and verbal communication skills with a top-down approach.

Ability to collaborate across engineering, operations, and analytics teams.

Confident in presenting insights and recommendations to mid-to-senior level stakeholders.

Qualifications : -

Minimum 10 Years of experience in Python

Must have a Bachelors in Computer Science

Nice to Have :

Exposure to manufacturing data systems (e.g., PI System, SCADA, MES).

Experience with simulation tools or modeling physical processes (e.g., heat transfer, fluid dynamics).

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.