Description :At Visteon, the work we do is both relevant and recognized not just by our organization, but by our peers, by industry-leading brands, and by millions of drivers around the world. Thats YOUR work.And, as a truly global technology leader in the mobility space, focused on building cross-functional AND cross-cultural teams, we connect you with people who help you grow.So here, whatever we do is not a job. Its a mission. As a multi-billion-dollar leader of disruptive change in the industry, we are shaping the future, while enabling a cleaner environment. No other industry offers more fast-paced change and opportunity. We are in the midst of a mobility revolution that will completely change the way we interact with our vehicles, reduce the number of car accidents and fatalities, and make the world a cleaner place.Visteon is at the epicenter of this mobility revolution.Two major trends in the automotive industry - the shift to electric vehicles and vehicles with autonomous safety technologies - have created unique opportunities for Visteon. We are the only automotive provider focused exclusively on cockpit electronics - the fastest-growing segment in the industry.And our team is ready for YOU. To show the world what you can do.Detailed description: Microsoft Azure Data DeveloperEnabling a software-defined, electrified future.
Visteon is a technology company that develops and builds innovative digital cockpit and electrification products at the leading-edge of the mobility revolution. Founded in 2000, Visteon brings decades of automotive intelligence combined with Silicon Valley speed to apply global insights that help transform the software-defined vehicle of the future for many of the worlds largest OEMs. The company employs 10,000 employees in 18 countries around the globe. To know more about us click here.
Mission of the Role:
1. Design and manage mission critical workloads
2. Enhance efficiency, cost effectiveness and resource utilization of the platform
3. Turn visionary ideas into impactful solutions leveraging AI and ML
4. Bring about security and operational excellence
Key Objectives of this Role:Data Strategy and Governance:
Design Data Policies: Set goals around creating effective data policies that govern data access, security, and compliance.
Ensure Data Quality: Establish objectives for maintaining high-quality data, including data cleansing, validation, and consistency.
Lifecycle Management: Define strategies for data lifecycle management, from creation to archival or deletion1.Technical Leadership:
Architect Data Solutions: Set goals to design and implement robust data solutions using Azure services.
Optimize Performance: Aim to enhance data pipelines, storage, and analytics performance.
Stay Current: Continuously learn about the latest Azure services and data technologies2.Team Collaboration and Mentorship:
Lead and Inspire: Set objectives to guide and motivate your team toward successful data projects.
Mentorship: Foster a culture of learning by mentoring junior team members.
Effective Communication: Prioritize clear communication within your team and across stakeholdersKey Performance Indicators:
Data Flow Efficiency:
Data Movement: Measure the efficiency of data movement within your system or between systems. Optimize data flow to minimize latency and maximize throughput.
Dependency Management: Evaluate the performance of components your workload relies on (dependencies). Ensure smooth interactions between different parts of the system1.User Flow Optimization:
User Paths: Analyze user actions within your application or system. Optimize user flows to enhance user experience and achieve business goals.
Workflow Efficiency: Assess the sequence of steps your workload runs to accomplish tasks. Streamline workflows for better performance1.Storage Metrics:
Storage Availability: Ensure processing services are available when needed.
Storage Scalability: Evaluate the ability of your database infrastructure to scale with varying workloads.
Storage Utilization: Monitor data services usage to optimize resource allocation2.Key Year One Deliverables: Improve data flow efficiency.Qualification, Experience and Skills: Specify the necessary qualifications, skills, and experience required to perform the role, including education, certifications, and work experience.Experience in developing and maintaining an integrated, domain-oriented, conceptual enterprise data model representing essential data produced and consumed across the enterprise.
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