
Senior Data Engineer
2 weeks ago
We are seeking an experienced professional with a strong foundation in Data Engineering and expertise in Generative AI.
- Design, architect, and present technical solutions to clients.
- Lead projects with a hands-on approach in Data Engineering and Generative AI.
- Conduct coding demonstrations and POCs to showcase solution feasibility.
- Collaborate with stakeholders to drive project success across industries such as E-commerce, Retail, Entertainment, Healthcare, Investment Holding, Supply Chain, and Real Estate.
- Partner with presales managers to design Azure-based technical solutions.
- Develop and implement data engineering strategies.
- Enhance the team's skills through knowledge sharing and mentorship.
- Maintain high-quality delivery with a focus on scalability, performance, and business impact.
- Data Engineering: Azure Data Lake, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL Database, Cosmos DB.
- Machine Learning & AI: Azure Machine Learning, OpenAI on Azure, Cognitive Services, Prompt Engineering, Model Fine-tuning, LLMOps.
- Orchestration & Workflow: Azure Data Factory, Azure Functions, Event Grid.
- DevOps & CI/CD: Azure DevOps, GitHub Actions, MLFlow, DVC.
- Monitoring & Security: Azure Monitor, Log Analytics, Role-Based Access Control (RBAC).
We offer a competitive compensation package, performance-based incentives, health benefits, company-sponsored certifications, training programs, and skill-building opportunities. Our positive and inclusive culture includes team activities, wellness and mental health programs to ensure you feel supported.
Our organization prioritizes growth and development, providing remote work options and a fully supported work-from-home setup to ensure your comfort and productivity.
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