NVIDIA is seeking to support initiatives for the Operations Data Platform, Reporting, and Analytics Organization by building the Quality Platform which will turn data into information leading to insights and business results.
Requirements
- Experience developing and maintaining data warehouses in big data solutions.
- Experience with several ecosystems like Azure, AWS, and Hadoop environments.
- Knowledgeable in Databricks, Splunk, or Snowflake solutions
- Knowledge of data analytics/mining and segmentation techniques
- Programming knowledge (e.g. Python, Java, etc)
- Experience with data pipeline responsibilities in replication and mass ingestion, streaming, API and application and data integration.
- Knowledge of operational processes in semi-chips, boards, systems, and servers with a view of data landscape.
Responsibilities
- 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
Other
- Bachelor’s or master's degree (or equivalent experience) in computer science or information system, or equivalent experience
- 8+ years of experience in data and database management
- 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
