Position Details
About this role
This senior data engineering role focuses on designing and deploying scalable, fault-tolerant data solutions supporting AI and autonomous systems within a retail environment. The candidate will work with cloud platforms and advanced data architectures.
Key Responsibilities
- Build scalable data pipelines
- Design data models and architectures
- Implement semantic layers and knowledge graphs
- Collaborate with AI/ML teams
- Deploy data solutions on cloud platforms
Technical Overview
The position involves big data development, cloud platform integration (GCP, Azure), data pipeline creation, semantic layer design, and knowledge graph implementation, supporting AI/ML systems.
Ideal Candidate
The ideal candidate is a senior data engineer with 4-6 years of experience in scalable big data architectures, proficient in cloud platforms like GCP and Azure, and experienced in data modeling, pipelines, and AI integration for enterprise analytics.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with cloud-based data engineering, No experience with big data tools like BigQuery or Dataflow, Inability to work in a collaborative, fast-paced environment
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