Microsoft Azure Data Developer
Pune, Maharashtra, India; Bangalore, Karnataka, India; Coimbatore, Tamil Nadu, India; Chennai, Tamil Nadu, India; Panaj, Goa, India
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. That’s 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. It’s 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 Developer
Enabling 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 world’s 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 stakeholders
Key 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.
• Analyze and translate Business needs into Conceptual data Models and data flows
• Analyze and design the business rules for data cleansing that are require for staging the data from OLTP & OLAP systems
• Maintains data integrity by reducing data redundancy, trends in data use and single sources of data
• Understands the methodologies and technologies that depict the flow of data within and between technology systems and business functions/operations
• In-depth understanding and demonstrated proficiency in data warehousing concepts, best practices, and dimensional database design.
• Experience in working with business leaders and IT teams to define and implement a roadmap on data management, business intelligence, or analytics solutions.
• Experience in managing data sets and working with ETL Data warehouse and Data Lake solutions.
Technical and Functional Competencies
• Experience managing BI and data warehouse projects in an iterative project management methodology
• Hands on experience with Microsoft data and analytics platforms such as Azure Data Factory, Microsoft SQL Server, Azure SQL Database, Azure SQL Managed Instance, Azure Synapse Analytics, Azure Databricks & SQL Data Warehouse
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Expertise with T-SQL – queries, stored procedures, functions, views, constraints
• Experience on building Integrations between Power BI and SQL Data Warehouse or Data Lake
• Hands-on professional creation of advanced data visualization and dashboards by using POWER BI
• Proven experience in designing, developing, and implementing POWER BI Dashboards and Reports.
• Hands-on experience with data architecting, data mining, and data modeling.
• Strong experience with data warehouse/data lake development techniques.
• Strong experience with SQL Data Warehouse and ETL solutions such as Azure Synapse Analytics, SQL Server, Azure, Databricks.
• Knowledge of Azure platform services (PaaS) and data stores, including Synapse, Azure SQL DB, Azure App Service, Databricks, Data factory, Azure Functions, etc.
• Knowledge of various aspects of a technology architecture like integration, network, and security
• Ability to develop and write Functional and technical specifications
• Rapidly comprehends the functions and capabilities of new technologies.
• Demonstrated understanding of AI/ML fundamentals
• Ready to think, behave and act in an innovative consulting manner to drive the organization’s digital business strategies.
• Nice to have - Knowledge of Data Science & programming such as Python, R, SAS, Java, or similar.
• Knowledge of Power apps
Key Behaviors: Mention the key behaviors that are critical for the role. Please refer to the Key Behaviors list for the same.
Example:
• Collaboration
• Critical Thinking
• Resilience
• Result Orientation
• Visteon values and beliefs
• Team Leadership (For people managers only)
Visteon Culture: If you thrive in a fast-paced, organizational culture that requires agility, adaptability, and a growth mindset from its employees to thrive and stay ahead of the curve Visteon is the place. We value high performance and a drive for results. Innovation, risk-taking, and continuous learning help us keep up with the ever-changing landscape of our industry and be Market leaders. At Visteon you can be more.
More Good Reasons to Work for Visteon Focusing on the Future
Our company strategy focuses on leading the evolution of automotive digital cockpits and safety solutions. This strategy is driven by constant innovation, and you will support our efforts through your role. We are recognized across the industry for innovation. We have a strong book of business that is expected to drive future growth, along with a customer base that includes almost every automotive manufacturer in the world.
Company Culture
Working at Visteon is a journey in which our employees can develop their strengths and advance their careers while making a difference globally. Join us and help change the world and how we interact with our vehicles. Visteon is where the best technical talent creates the future. Learn more about our culture here.
Competitive Compensation and Benefits
Visteon offers competitive salaries and benefits and an environment that encourages employees to achieve their career goals.
About Visteon
Visteon is a global technology company serving the mobility industry, dedicated to creating a more enjoyable, connected and safe driving experience. The company’s platforms leverage proven, scalable hardware and software solutions that enable the digital, electric, and autonomous evolution of our global automotive customers. Visteon products align with key industry trends and include digital instrument clusters, displays, Android-based infotainment systems, domain controllers, advanced driver assistance systems and battery management systems. The company is headquartered in Van Buren Township, Michigan, and has approximately 10,000 employees at more than 40 facilities in 18 countries. Visteon reported sales of approximately $2.8 billion and booked $5.1 billion of new business in 2021.Learn more at www.visteon.com.
Follow Us
For more information about our company, technologies and products, follow us on LinkedIn, Twitter, Facebook, YouTube and Instagram. You can also follow our careers-focused channels on Twitter and Facebook to keep up with our latest job postings and the great work our employees are doing.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Azure Big Data Business Intelligence Consulting Databricks Data management Data Mining Data pipelines Data quality Data strategy Data visualization Data warehouse Data Warehousing ETL Java Machine Learning OLAP Pipelines Power BI Python R SAS Security SQL T-SQL
Perks/benefits: Career development Competitive pay Startup environment
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