Data Engineer

Key Responsibilities include :

• Data Pipeline Engineering : Design, build, and maintain ingestion, transformation, and storage pipelines using Azure Data Factory, Synapse Analytics, and Data Lake.
• AI Data Enablement : Collaborate with AI Consultants to prepare and manage datasets for supervised, unsupervised, and synthetic learning workflows.
• POC Support : Implement optimized data pipelines for Agentic AI POCs using realistic or synthetic data sources.
• API & Microservices Development : Build RESTful APIs and Fast API-based microservices for data access and model interaction within Azure-hosted environments.
• Model Deployment Support : Enable end-to-end deployment of AI models using
• Azure Machine Learning, Azure Kubernetes Service (AKS), and Azure DevOps.
• Data Governance & Compliance : Ensure data quality, lineage, and compliance with responsible AI and enterprise data standards.

Skills & Experience Required :

Minimum YoE : 5 Years

Programming & Micro Services Architecture : Strong skills in

Soft Skills

Ability to collaborate effectively with AI Consultants, Architects, and Business Analysts

Strong communication skills to explain data engineering concepts to non- technical stakeholders & ability to transfer industry knowledge to peers

Preferred Certifications

Skills & Experience Required :

Minimum YoE : 5 Years

Data Engineering & Azure Ecosystem :

Soft Skills

Preferred Certifications