Project Role : Full Stack Engineer Project Role Description : Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset.
Must have skills : Microsoft Azure Analytics Services Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary:Must have (all levels): Strong experience in Azure cloud data services & technologies Azure Databricks, Unity Catalog, Delta live tables Data Modelling & Architecture ETL pipeline design Expert in Python, Pyspark and SQL Azure Data Factory Azure DevOps Logging and Monitoring using Azure / Databricks services Apache KafkaNice to have: Synapse, Fabric, PowerBI, Azure Functions, Azure Logic apps Azure API services Microsoft Entra ID GCP & AWS cloud services knowledge Azure Networking Databricks online table Jira Shell scripting / Azure CLI knowledge You are a good match if you have: o 8+ years of working experience in in field of Data Engineering, Software Engineeringo 5+ years of experience in managerial positiono Hands-on experience and in-depth knowledge of the technologies listed as mandatory in the Technology Stack sectiono Strong understanding and implementation of software development principles, coding standards, and modern architecture o Hands-on experience in implementing and managing End-to-End DataOps / Data Engineering projects in a team o Proven ability to lead software development teams of engineers with varying experience and adapt to team sizes from small to largeo Experience in working in diverse projects with varying technologies, products, and systems oStrong problem-solving skills and ability to make critical technical decisions o Ability to guide / mentor other team memberso Stakeholder engagement/influence skillso Pragmatic, and collaborative team playero Experience with Databricks, Data pipelines, CI/CDo Proficiency in Python, SQL and big data technologies in Cloud environmento Pragmatic, and collaborative team player : Seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks that drive innovation, efficiency, and business transformation. Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows for measurable impact. Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks.
Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization.
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