Data Engineering Lead

We're seeking an experienced Data and AI professional to join our team. This role is perfect for someone who wants to grow and make a positive impact.

Our company fosters a thriving environment with a hybrid work model, prioritizing flexibility and work-life balance. Interviews and onboarding are conducted virtually, reflecting our digital-first mindset.

We specialize in delivering impactful solutions for clients across multiple industries including E-commerce, Retail, Entertainment, Healthcare, Investment Holding, Supply Chain, and Real Estate.

About the Role :

This role begins as an Individual Contributor (IC), evolving into team management capacity. The ideal candidate has 12–20 years of experience in data engineering, with at least 3 years of hands-on work in Generative AI.

• Partner with colleagues to design, architect, and present technical solutions.
• Lead projects with 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.
• 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.
• 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.

Benefits :

We offer competitive compensation, performance-based incentives, health benefits, company-sponsored certifications, training programs, and skill-building opportunities for continuous growth.