Nvidia Senior Software Engineer Data Platform 

United States, California 

436978304

The NVIDIA Operations organization is seeking an experienced software engineering professional for the position of System Data, Software Engineer. As a member of our team you will be an integral part of building cloud based data platforms. You will support initiatives for the Data Platform, Reporting, and Analytics. Your work will turn data into information leading to insights and business results.

What you'll be doing:

Leading, planning, and implementing with team members and IT, data and cloud designs, given data sources, data locations, and use cases. We work on data tools used in testing of semiconductor chips, boards, systems, and servers. We develop in house suite of tools that work from the ground up. Processing logs into data platforms, analytics, and custom visualizations for large scale data analysis.

• Design and implement framework modules to extract data from various source systems, validate the integrity, apply business transformation, and store data in a Data Lake (AWS, Azure, others)

• Enable a self-service and Machine Learning platform for individual business units

• Take ownership of data platform and transformation tools used in AI&ML

• Build, scale, and optimize self-serve ETL frameworks, streaming pipelines to handle data storage and real-time analytics

What we need to see:

• Bachelor’s or Master’s degree in Computer Science or Information System, or equivalent experience with programming knowledge (i.e. Python, Database architectures, etc.)

• 8+ years of relevant experience

• Experienced in defining/leading projects, collecting requirements, setting timelines, and delivering on results

• Experience in architecting, designing, developing, and maintaining data warehouses/data lakes for complex data ecosystems

• Working knowledge of Amazon Web Services, Kubernetes, Docker, Terraform

• Strong Python experience, with focus in data extraction and transformations

• Experience with structured data such as Parquet, Protobuf, and concepts like schema evolution

Ways to stand out from the crowd:

• Self-starter, positive problem-solving outlook, ability to multi-task, and demonstrate strong organization skills

• Solid understanding of operational processes in semi-chips, boards, systems, and servers

• In-depth experience in crafting ETL pipelines using Spark, SQL, AWS/Cloud

• Background with semi structured log parsing

• Experience with SAP systems integration, Datamart, Business objects as well as experience with visualization tools like Tableau, PowerBI, Jupyter Notebooks