Senior Data Engineer, End to End Data Systems

The NVIDIA Operations organization is seeking an experienced technology professional for the position of Senior Data Engineer to support initiatives for Operations. As a Data Engineer on our team, you will be an integral part of the Data and Analytics organization in Operations that is building the Operations Data Platform to turn data into business insights and results. What you'll be doing:Develop and implement the new End-to-End Data systems for our Planning, Logistics and Services initiativesLead discussions with stakeholders and IT to identify and implement the right data strategy given data sources, data locations, and use casesBuild data pipelines to transport data from a data source to the data lakeAnalyze and organize raw operational data including structured and unstructured dataBuild data systems and pipelines ensuring that data sources, ingestion components, transformation functions, and destination are well understood for implementationInterpret trends and patterns by performing complex data analysisPrepare data for prescriptive and predictive modeling by making sure that the data is complete, has been cleansed, and has the necessary rules in placeBuild/develop algorithms, prototypes, and analytical tools that enable the Ops teams to make critical business decisionsWhat we need to see:Master’s or Bachelor’s degree in Computer Science or Information System, or equivalent experience6+ years of relevant experience including programming knowledge (i.e SQL, Python, Java, etc)Highly independent, able to lead key technical decisions, influence project roadmap and work effectively with team membersExperience architecting, designing, developing, and maintaining data warehouses/data lakes for complex data ecosystemsExpert in data and database management including data pipeline responsibilities in replication and mass ingestion, streaming, API and application and data integrationExperience in developing required infrastructure for optimal extraction, transformation, and loading of data from various sources using AWS, Azure, SQL or other technologiesStrong analytical skills with the ability to collect, organize, and disseminate significant amounts of information with attention to detail and accuracyKnowledge in operational processes in chips, boards, systems, and servers with a view of data landscapeWays to stand out from the crowd:Self-starter, positive mindset with integrity and accountability, highly motivated, driven, and high-reaching.Solid ability to drive continuous improvement of systems and processesA consistent record to work in a fast-paced environment where good interpersonal skills are crucial.NVIDIA is widely considered to be one of the technology world’s most desirable employers; we have some of the most forward-thinking and hardworking people in the world working for us and, due to unparalleled growth, best-in-class teams are rapidly growing. If you’re creative and autonomous with a real passion for your work, we want to hear from you!The base salary range is $160,000 - $304,750. 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 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.