Experience 10+ years in the IT domain preferably in Cloud, Data and ADAS domain.
A minimum of 5 years hands-on experience in the data engineering, Cloud Platforms and Applications..
Strong Understanding of Cloud Platforms.
Proficiency in Azure cloud platform related to.
Experience in Azure Compute (App Services, Functions), Storage (Blob, Cosmos DB), and Networking (Virtual Networks).
Python Backend Development Overview: Strong Python skills, including frameworks (e.g., Flask, Django), and experience with database integration.
Azure DevOps & CI/CD Overview: Ability to implement and manage CI/CD pipelines using Azure DevOps or GitHub Actions for automated deployments.
Data Management & Analytics: Experience with Azure data services (e.g., Azure SQL Database, Azure Data Factory) and data processing techniques is an advantage.
Microservices & Containerization Knowledge: Knowledge of container technologies (Docker, Kubernetes) and experience deploying and managing microservices on Azure (AKS).
Configuration management with GIT - Pull Requests, Branching, repo handling. Knowledge of CI/CD practices, building and deploying software.
Should have worked as PO for a product deployed on commercial cloud platforms.
Strategic Planning: Develop and maintain a strategic roadmap for the project initiatives aligned with project goals and priorities.
Collaborate with stakeholders to gather requirements, prioritize features, and define project scope.
Requirement Management:. Elicit, analyze, and document customer business requirements ensuring clarity, completeness, and feasibility..
Steer development through a Data based development cycle and gain intuition along the journey..
Prioritize requirements based on business value, technical complexity, and resource constraints.
Team Collaboration:. Serve liaison between business stakeholders and development teams, facilitating communication, and ensuring alignment on project goals and priorities.
Work closely with cross-functional teams including cloud infrastructure experts and full-stack data engineers to translate requirements into actionable tasks and user stories.
Product Development:. Define and prioritize user stories, features, and epics in the product backlog, ensuring they are well-defined, estimated, and ready for development
Review and provide feedback on deliverables, ensuring they meet acceptance criteria and deliver business value.
The underlying technologies exposed to you would be in the areas Data engineering, Software, tools, etc.
Release Management:. Plan and coordinate release schedules in collaboration with development teams and stakeholders, ensuring timely delivery of features and enhancements..
Conduct demos and gather feedback from stakeholders to iterate on product features and improve user experience.Should have knowledge of various concepts on Ontologies (understanding of Digital twins is a big plus).
