Senior Data Engineer, Ops Data Platform

Overview

On Site
USD 168,000.00 per year
Full Time

Skills

Computer Graphics
Artificial Intelligence
GPU
Robotics
Innovation
Reporting
Analytics
Data Engineering
Data Lake
Predictive Modelling
Algorithms
Prototyping
Collaboration
Computer Science
Python
Java
Database Administration
Extract
Transform
Load
Replication
MASS
Streaming
API
Data Integration
Data Warehouse
Big Data
Microsoft Azure
Apache Hadoop
Extraction
Amazon Web Services
SQL Azure
Databricks
Splunk
Snow Flake Schema
Data Analysis
Energy
Conflict Resolution
Problem Solving
Multitasking
Analytical Skill
Attention To Detail
Servers
Continuous Improvement
Accountability
Organizational Skills
IT Management
Recruiting
Promotions
SAP BASIS
Law

Job Details

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

The NVIDIA Operations organization is seeking an expert technology professional for the position of Senior Data Engineering to support initiatives for the Operations Data Platform, Reporting, and Analytics Organization. As a Data Engineering Developer in our team, you will be an integral part of the team in Operations building the Quality Platform which will turn data into information leading to insights and business results.

What you'll be doing:
  • Implement End-to-End Quality Data platform solutions for our Datacenter products.
  • Build data pipelines that are used to transport data from a data source to the data lake.
  • Analyze and organize raw data
  • Build data systems and pipelines ensuring that data sources, ingestion components, transformation functions, and destination are well understood for implementation
  • Interpret trends and patterns by performing complex data analysis
  • Prepare data for prescriptive and predictive modeling by making sure that the data is complete, has been cleansed, and has the necessary rules in place
  • Build algorithms and prototypes
  • Develop analytical tools and programs
  • Collaborate with data scientists and architects on projects
  • Evaluate business needs and objectives to ensure the organization can access the raw data

What we need to see:
  • Bachelor's or master's degree (or equivalent experience) in computer science or information system, or equivalent experience with programming knowledges (i.e Python, Java, etc)
  • 8+ years of experience in data and database management that includes data pipeline responsibilities in replication and mass ingestion, streaming, API and application and data integration.
  • Experience developing and maintaining data warehouses in big data solutions. Experience with several ecosystems like Azure, AWS, and Hadoop environments.
  • You have built required infrastructure for optimal extraction, transformation, and loading of data from various sources using AWS, Azure, SQL or other technologies. Knowledgeable in Databricks, Splunk, or Snowflake solutions
  • Knowledge of data analytics/mining and segmentation techniques
  • Communicate effectively with business users and translate business needs into technology solutions
  • Ability to connect with all team members successfully and effectively.
  • High energy with positive problem-solving attitude, and multi-task and strong organization skills.
  • Strong analytical skills with the ability to collect, organize, and disseminate significant amounts of information with attention to detail and accuracy
  • Knowledge in operational processes in semi-chips, boards, systems, and servers with a view of data landscape.

Ways to stand out from the crowd:
  • Strong ability to drive continuous improvement of systems and processes.
  • Self-starter, self-confident individual with integrity and accountability, highly motivated, driven, high-reaching, and attracted to a meaningful opportunity.
  • A proven ability to work in a fast-paced environment where strong organizational skills are essential.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most experienced and dedicated people in the world working for us and, due to unprecedented growth, our elite engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology leadership, we want to hear from you.

The base salary range is 168,000 USD - 264,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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