
Governance and Infrastructure Data Engineer
Are you a detail-oriented, analytical thinker with a passion for data and technology? Do you have experience in governance and infrastructure engineering, and a drive to constantly improve processes and systems? If so, then we have the perfect opportunity for you as a Governance and Infrastructure Data Engineer at NVIDIA.In this role, you will play a crucial part in ensuring the accuracy, security, and efficiency of our data and infrastructure. You will work closely with cross-functional teams to design, build, and maintain data governance and infrastructure solutions that support our rapidly growing business.To excel in this role, you should have a strong background in data engineering, governance, and infrastructure design, as well as excellent communication and problem-solving skills. If you are a self-motivated individual who thrives in a fast-paced, dynamic environment, we encourage you to apply for this exciting position at NVIDIA.
- Develop and implement data governance policies and procedures to ensure data accuracy, security, and compliance.
- Design and maintain data infrastructure solutions that support the organization's data needs.
- Collaborate with cross-functional teams to gather and analyze requirements, identify data gaps, and propose solutions.
- Continuously monitor and improve data governance and infrastructure processes to ensure efficiency and scalability.
- Troubleshoot and resolve any issues related to data governance and infrastructure, working closely with other teams as needed.
- Stay up-to-date with industry trends and best practices in data governance and infrastructure engineering.
- Communicate effectively with stakeholders and team members to provide updates, gather feedback, and address concerns.
- Collaborate with data scientists and analysts to ensure data is available and usable for analysis.
- Identify areas for improvement and take initiative to implement changes that increase efficiency and effectiveness.
- Train and mentor junior team members on data governance and infrastructure processes and best practices.
- Participate in data governance and infrastructure related projects and initiatives to support the organization's goals and objectives.
- Continuously monitor data quality and integrity to ensure accurate and reliable reporting and analytics.
- Document data governance and infrastructure processes and procedures for future reference and knowledge sharing.
- Work with vendors and external partners to evaluate and implement new data governance and infrastructure technologies.
- Remain adaptable and flexible in a fast-paced, dynamic environment, and handle multiple projects simultaneously.
Bachelor's Or Master's Degree In Computer Science, Information Systems, Or A Related Field.
Minimum Of 3 Years Of Experience As A Data Engineer, With A Focus On Governance And Infrastructure.
Strong Knowledge Of Data Governance Principles, Techniques, And Best Practices.
Proficiency In Programming Languages Such As Python, Java, Or Scala.
Expertise In Data Infrastructure Technologies, Such As Hadoop, Spark, And Aws.
Data Analysis
Database Management
Data Modeling
DevOps
Automation
Cloud Computing
Data integration
Data governance
ETL Development
System Administration
SQL querying
Network Infrastructure
Communication
Conflict Resolution
Leadership
Time management
Interpersonal Skills
creativity
Critical thinking
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Governance and Infrastructure Data Engineer in Santa Clara, CA, USA is between $120,000 to $150,000 per year. However, this can vary based on the specific company, job responsibilities, and level of experience. Some companies may offer higher salaries or additional benefits such as bonuses, stock options, and other perks. It is important to research and compare salaries for similar roles in the area to get a better understanding of the market rate.
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NVIDIA Corp. designs and manufactures computer graphics processors, chipsets, and related multimedia software. The company operates through two segments: Graphics Processing Unit and Tegra Processor. The Graphics Processing Unit segment includes sales of the company's GeForce discrete and chipset products that supports desktop and notebook PCs plus license fees from Intel and sales of memory products. The Tegra Processors segment provides processors that deliver superior visual and multimedia experience on tablets, smart phones and gaming devices while consuming minimal power.

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