We are seeking a highly accomplished Full Stack Development Lead with over 15 years of software engineering experience and deep technical expertise across React, C# .NET Core, Python (pyspark), and Power BI.

Key Responsibilities:

• Lead the design, development, and delivery of complex full-stack solutions using React and C# .NET Core.
• Own the architectural direction for microservices, APIs, cloud deployments, and event-driven systems.
• Provide technical leadership in Python (pyspark)-based data pipelines and Power BI reporting solutions.

Team & Delivery Management

• Lead, mentor, and upskill a team of full stack developers, data engineers, and BI developers.

Technical Execution

• Design and develop scalable user interfaces with React and TypeScript.
• Build and maintain backend services, APIs, and microservices using C# .NET Core.
• Oversee development of Power BI dashboards, semantic models, and enterprise‑grade data visualizations.
• Architect and implement pyspark‑based workflows for risk analytics, data quality, and pipeline automation.
• Maintain robust CI/CD pipelines across build, test, deployment, and monitoring layers.
• Contribute to cloud engineering initiatives.

Core Technical Expertise

• 15+ years in software engineering with at least 5+ years in technical leadership or engineering lead roles.
• Advanced knowledge of React, TypeScript, state management patterns, component architecture.
• C# .NET Core / Backend:
• Deep expertise in C#, API design, microservices, distributed architectures.
• Python (pyspark):
• Experience building scalable distributed data pipelines and integrating with analytics platforms.
• Power BI:
• Strong hands-on experience with dashboard development, data modelling, DAX, governance, and performance tuning.
• Architecture:
• Proven ability to design microservices, event-driven solutions, and cloud-native systems.
• DevOps / CI/CD:
• Strong knowledge of automated pipelines, build and release engineering, and deployment strategies.
• Cloud Expertise:
• Azure/AWS experience, preferably Azure (App Services, Functions, Storage, Event Hub, DevOps, Databricks).
• Databases:
• Strong SQL, data modeling, and performance optimization experience across relational and NoSQL stores.
• Containers:
• Hands-on experience with Docker, Kubernetes, and container orchestration.