Web Application & Software Engineering • Architect & Build Applications: Design, develop, and deploy responsive, high-performance web applications using modern full-stack frameworks (e.g., MERN, MEAN, LAMP, or Java/Spring Boot). • API Development & Integration: Design and implement RESTful APIs, GraphQL endpoints, and microservices to enable seamless communication between front-end interfaces, back-end systems, and third-party tools. • Database Management: Structure, optimize, and maintain relational (SQL), non-relational (NoSQL) and unstructured databases like SharePoint Lists, Excels, etc. to support high-throughput, enterprise-scale applications. Data Engineering & Business Intelligence • ETL & Data Pipeline Design: Conceptualize, build, and maintain robust ETL/ELT flows to consolidate data from disparate transactional systems, cloud databases, and third-party APIs. • Dashboard & Analytics Engineering: Translate business requirements into intuitive, interactive Power BI dashboards and reports for executive decision-making. • Data Modeling & Governance: Ensure data accuracy, consistency, security, and integrity across relational data models, transactional schemas, and enterprise data marts. Enterprise Process Automation • Workflow Automation: Identify manual operational workflows and design automated end-to-end process flows using Microsoft Power Automate and custom scripts. • System Integration: Connect enterprise applications (ERP, CRM, legacy databases, web portals) using cloud flows, desktop flows (RPA), and webhooks. AI & Emerging Technology Integration • Generative & Agentic AI Solutions: Architect and implement solutions incorporating Large Language Models (LLMs), Small Language Models (SLMs), and autonomous Agentic AI frameworks (e.g., LangChain, AutoGen, LlamaIndex). • AI Tooling & Prompt Engineering: Build AI-driven feature enhancements into enterprise web portals and workflow engines to enhance productivity and user experience. Cloud & DevOps Operations • Cloud Architecture: Deploy, manage, and scale applications and data infrastructure across major public cloud platforms (Microsoft Azure, AWS, or Google Cloud Platform). • CI/CD & Code Hygiene: Implement robust CI/CD pipelines, maintain repository hygiene, conduct code reviews, and enforce security and data compliance standards. Key Skill Requirements Hands-on Experience • 4 to 8 years of core hands-on experience in full-stack software development, data engineering, and automation solutions. Software & Web Development Stack • Proficiency in at least one primary full-stack development technology suite: • MERN / MEAN: React.js, Angular, Vue.js, Node.js, Express.js • Java Stack: Java, Spring Boot, Hibernate, Spring MVC • LAMP / Web: PHP, Apache/Nginx, Linux, MySQL, JavaScript/HTML5/CSS3 Data Engineering & Analytics • Experience in designing ETL/ELT processes using tools like Azure Data Factory, AWS Glue, Apache Airflow, or SSIS. • Expert-level proficiency in Power BI (DAX, Power Query, Data Modeling, Security Management, Custom Visuals). • Proficiency with both SQL (PostgreSQL, MS SQL Server, MySQL, Oracle) and NoSQL (MongoDB, DynamoDB, Redis, Cassandra) databases. Process Automation • Proven track record in building enterprise automation workflows using Microsoft Power Automate (Cloud & Desktop flows). Cloud Platforms • Practical experience with at least one major cloud provider (Azure, AWS, or GCP), including serverless computing, object storage, managed database services, and IAM policies. Teamwork, Communication & Execution • Collaboration & Team Player: Demonstrated capability to work effectively within multi-disciplinary & multi-location teams, engaging collaboratively with team members, product managers, vendor partners, UX designers, and business stakeholders. • Interpersonal & Communication Skills: Adept at verbal and written communication, with strong interpersonal skills to translate technical concepts for non-technical leadership and clearly express solution requirements, designs, concepts, etc. • Action-Oriented & Proactive: Highly self-motivated, action-oriented, and proactive in taking ownership, identifying potential roadblocks early, and proposing practical digital solutions. Preferred Experience • Generative & Agentic AI: • Understanding of LLM/SLM fine-tuning, Retrieval-Augmented Generation (RAG) architectures, and vector databases (e.g., Pinecone, Milvus, ChromaDB, Qdrant). • Familiarity with Agentic AI frameworks (LangChain, LangGraph, AutoGen, CrewAI) and function-calling protocols. • DevOps & Containerization: Experience with Docker, Kubernetes, GitHub Actions, or Azure DevOps for automated building and deployment. • Scripting Languages: Strong proficiency in Python or TypeScript/JavaScript for data processing and AI script integration. • Agile Delivery: Experience working in Agile/Scrum methodologies with cross-functional business, data, and digital product teams. • Problem-Solving & Communication: Exceptional analytical skills with the ability to translate business requirements into technical architectures and articulate tech solutions to non-technical stakeholders. Preferred Qualification • Primary Qualification: Bachelor’s or Master’s degree in Computer Science, Information Technology, Software Engineering, Data Engineering, or a closely related discipline (B.E. / B.Tech / M.E. / M.Tech / MCA / M.Sc). • Certifications (Desirable): • Cloud: Azure Developer/Data Engineer Associate, AWS Certified Developer/Solutions Architect, or GCP Professional Data Engineer. • Analytics & Automation: Microsoft Certified: Power BI Data Analyst Associate (PL-300) or Power Platform App Maker / Developer (PL-100/PL-400).