Key Responsibilities:
- 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 have knowledge of various concepts on Ontologies (understanding of Digital twins is a big plus).
Qualifications :
BE M. Tech PhD in Computer Science
Additional Information :
Exp- 10 years
Remote Work :
No
Employment Type :
Full-time
Key Responsibilities: 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.Exper...
Key Responsibilities:
- 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 have knowledge of various concepts on Ontologies (understanding of Digital twins is a big plus).
Qualifications :
BE M. Tech PhD in Computer Science
Additional Information :
Exp- 10 years
Remote Work :
No
Employment Type :
Full-time
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