Senior Software Engineer

Overall Objective

Roles & Responsibilities

• Design and develop end-to-end data pipelines (ingestion, modeling, governance, visualization).
• Implement Azure-based analytics solutions using Azure Data Lake, Synapse, Fabric, Key Vault, etc.
• Build and optimize Power BI dashboards, semantic models, and curated datasets.
• Integrate AI/ML capabilities into existing business applications and workflows to enhance business processes.
• Develop solutions using Python, C#, and data processing frameworks for scalable computation.
• Integrate AI models and services (Azure OpenAI / Azure ML / external APIs) into existing applications and services.
• Work on API-first and microservices architecture with Azure Functions, Web APIs, and service orchestration.
• Support MLOps pipelines, model deployment, testing, and monitoring.
• Participate in Agile delivery, design discussions, architectural improvements, and code reviews.

Required Skills

• Strong SQL skills including optimization and performance tuning.
• Hands-on experience with Azure cloud ecosystem (Azure Data Lake, Synapse, Azure ML, Functions, Key Vault, Fabric).
• Strong experience designing dashboards and BI solutions using Power BI.
• Programming experience in Python and C# (.NET Core).
• Exposure to AI, ML, GenAI, and ability to integrate AI models into solutions via APIs.
• Strong understanding of data warehousing, semantic modeling, and enterprise reporting.

Good to Have

• Experience with vector search and embeddings.
• Experience with conversational AI / RAG / AI copilots.
• Experience in regulated industries (Life Sciences / Healthcare).

Personal Attributes

• Strong analytical and problem-solving skills.
• Ability to collaborate and communicate effectively.
• Passion for innovation, learning, and cloud-native engineering.

Personal Skills:

• Excellent analytical and problem solving skills
• Excellent verbal and written communication skills
• Ability to articulate and present different points-of-views on various topics related to project and otherwise.
• Eager to learn and continuously develop personal and technical capabilities.

Required Qualifications:

• MCA or Bachelors in Engineering, Computer Science or equivalent.