Senior Data Engineering Developer

The NVIDIA Datacenter organization is looking for a seasoned technology professional for the role of Data Engineering Developer to support initiatives for the Operations Data Platform, Reporting, and Analytics Organization for our DGX™ and other Datacenter products. As a Data Engineering Developer in our team, you'll play a key role in the Operations team building the Operations Data Platform, which will transform data into information leading to insights and business results. What you'll be doing: - Implementing the new pipelines in the Operations Data Platform for our Datacenter products. - Building data pipelines to transport data from a data source to the data lake. - Creating data systems and pipelines, ensuring the data sources, ingestion components, transformation functions, and destination are well understood for implementation. - Interpreting trends and patterns through complex data analysis. - Preparing data for prescriptive and predictive modeling by ensuring the data is complete, cleansed, and has the necessary rules in place. - Building algorithms and prototypes and developing analytical tools and programs. - Collaborating with data scientists and architects on projects. - Evaluating business needs and objectives to ensure the organization can access raw data. What we need to see: - A Bachelor’s degree in Computer Science or Information System, or equivalent experience with programming knowledge (such as Python, Java, etc). - 8+ years of experience developing and maintaining data warehouses in big data solutions. - Expertise in data and database management that includes data pipeline responsibilities in replication and mass ingestion, streaming, API and application and data integration. - Experience in building required infrastructure for optimal extraction, transformation, and loading of data from various sources using AWS, Azure, SQL or other technologies. - Knowledge of data analytics/mining and segmentation techniques and experience with several ecosystems like Azure, AWS, Spark and Hadoop environments. - Ability to effectively communicate with business users and translate business needs into technology solutions. - Experience working with high volume structured, semi-structured, unstructured data, and parsing of log files. - Strong understanding of infrastructure components used to run the data pipeline including AWS Glue and Azure Data Factory. - 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. - Experience with big data projects delivering significant value back to the business, with real examples. - Self-starter, self-confident individual with integrity and accountability, highly motivated, driven, high-reaching, and attracted to a meaningful opportunity. - Practical knowledge of setting up data pipelines from Factories, Repair centers, Field, R&D, Sales, and Supply Chain. - A proven ability to work in a fast-paced environment where strong organizational skills are essential. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the hardest-working and talented people in the world working for us. If you're creative and passionate about developing cloud services, we want to hear from you! The base salary range is 160,000 USD - 247,250 USD. Your base salary will be decided 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.