
Data Solutions Engineer
23 hours ago
As a skilled Data Solutions Engineer, you will play a key role in designing, building, and optimizing scalable data engineering pipelines to support AI and advanced analytics initiatives.
Key Responsibilities:
- Design, develop, and implement scalable data engineering pipelines on Microsoft Azure Infrastructure.
- Work with cross-functional teams to translate analytical models into production-ready solutions.
- Collaborate with data scientists to ensure data governance, quality, and compliance across the AI/ML ecosystem.
- Optimize performance and scalability of AI-driven data solutions.
Required Skills and Qualifications:
- 5+ years of professional experience in Data Engineering.
- Strong background in Data Science with hands-on data pipeline implementation.
- Expertise in Microsoft Azure AI Foundry and related services (Azure Data Factory, Azure Databricks, Synapse, Cognitive Services).
- Practical experience with Copilot Studio for AI-based development.
- Proven track record of RAGs (Retrieval Augmented Generation) creation and implementation.
Benefits:
- Mid-Senior level position.
- Full-time employment.
- Opportunity to work on cutting-edge AI and ML projects.
Seniority Level: Mid-Senior. Employment Type: Full-time. Job Function: Information Technology. Industries: IT Services and IT Consulting.
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