Back

Protocol Intelligence

Data-driven signals on your job's competitiveness

CV Match Score

Estimated fit based on your resume

Structured overview of role & requirements

Direct Career PageEst. 12–22 LPA

Posted 1d ago

Against your primary resume

Create a free account or log in to unlock your CV match score across:

Role Fit

Experience

Industry Relevance

get started

Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Background Fit Sensitivity

(Moderate)

Shortlisting Strictness

(Moderate)

Structured overview of role & requirements

Design, build, and maintain scalable, governed data integration pipelines for supply chain planning platforms like o9.

Integrate supply chain, manufacturing, ERP data into APS-ready models to support planning and AI/ML initiatives.

Lead end-to-end delivery including design, development, testing, deployment, and production support of enterprise data solutions.

5+ years experience in data engineering, data integration, or enterprise data delivery.

Experience with Advanced Planning Systems data integration, preferably o9 or similar supply chain planning platforms.

Hands-on experience with data engineering or ETL tools and cloud platforms like Azure or AWS.

Work Experience Required: 5+ years; Notice Period: Not explicitly mentioned in the JD.

Experienced in working with supply chain, manufacturing, ERP, and planning data ecosystems, preferably in a consulting or client-facing environment.

Proficient with cloud-based data engineering technologies including APIs, PySpark, Delta Lake, and modern integration frameworks.

Skilled at collaborating with cross-functional teams to deliver governed, reusable data pipelines aligned with strategic enterprise data objectives.