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Strong corporate brand, mid-level generalist title, metro location, and broad skillset requirements increase competition.
Requires combined full-stack, BI, Power Platform and AI skills, moderately industry-transferable but domain-specific.
Multiple mandatory stacks (full-stack, Power BI, Power Automate, cloud, AI) and explicit 4–8 years requirement indicate high strictness.
Design, develop, and deploy full-stack web applications including API and database management using modern frameworks and cloud platforms.
Build and maintain ETL pipelines, data models, and Power BI dashboards for business intelligence and decision-making.
Automate enterprise workflows and integrate AI solutions (generative AI, agentic AI frameworks) to enhance productivity within cloud and DevOps environments.
4 to 8 years of hands-on experience in full-stack software development, data engineering, and automation solutions.
Proficiency in at least one full-stack development technology suite (MERN/MEAN, Java/Spring Boot, or LAMP).
Experience with ETL tools (e.g., Azure Data Factory, AWS Glue), Power BI, and both SQL and NoSQL databases.
Practical experience with at least one major cloud platform (Azure, AWS, or GCP).
Expertise in integrating AI technologies such as LLMs, SLMs, and agentic AI frameworks into enterprise applications.
Strong skills in cloud architecture, DevOps (CI/CD, containerization), and process automation workflows using Microsoft Power Automate.
Experienced in agile methodologies and capable of translating business needs into scalable technical solutions while working in multidisciplinary teams.