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Data Engineer and AI Specialist
2 weeks ago
As a seasoned data professional, you have the opportunity to drive growth and impact by joining our team. In this role, your expertise in data engineering and Generative AI will be integral to designing and delivering cutting-edge solutions for our clients.
We are seeking an experienced professional with a strong foundation in data engineering and proven expertise in Generative AI. The ideal candidate will have 12–20 years of experience in data engineering, with at least 3 years (last 2 years acceptable) of hands-on work in Generative AI.
This position begins as an Individual Contributor (IC) with opportunities to evolve into a team management capacity. You will collaborate with Presales Managers to design technical solutions, lead client discussions, and ensure end-to-end delivery of Data & GenAI projects across multiple industries.
Key Responsibilities:- Partner with Presales Managers to design, architect, and present Azure-based 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.
- Mentor and guide team members as the role transitions into a leadership capacity.
- Ensure high-quality delivery with a focus on scalability, performance, and business impact.
- 12–20 years of experience in Data Engineering with deep expertise in the Azure ecosystem.
- Minimum 3 years of hands-on experience in Generative AI (with at least 2 years of recent, practical implementation).
- Proven ability to lead complex projects and deliver enterprise-grade solutions.
- Strong client-facing and solutioning experience, including technical presentations and workshops.
- Excellent communication and leadership skills.
- 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 (optional but preferred).
- 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, and health benefits designed to support your growth and well-being. Our company-sponsored certifications, training programs, and skill-building opportunities will help you succeed in your career. We foster a culture of inclusivity and support, with remote work options and a fully supported work-from-home setup to ensure your comfort and productivity.