Senior Software Engineer, Data Platform

NVIDIA•Santa Clara, CA

21h

About The Position

The NVIDIA Operations organization is seeking an experienced software engineering professional for the position of System Data Architect. As a member of our team you will be an integral part of building data platforms and tools. 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 and planning with team members and IT to identify and implement the right data strategy, 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. Build, scale, and optimize self-serve ETL frameworks, streaming pipelines to handle data storage and real-time analytics 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

Requirements

Bachelor’s or Master’s degree in Computer Science or Information System, or equivalent experience with programming knowledge (i.e. Python, Database architectures, etc.)
7+ 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
Strong Python experience, with focus in data extraction and transformations
In-depth experience in crafting ETL pipelines using Spark, SQL, AWS/Cloud
Solid understanding of operational processes in semi-chips, boards, systems, and servers

Nice To Haves

Self-starter, positive problem-solving outlook, ability to multi-task, and demonstrate strong organization skills
Working knowledge of Amazon Web Services, Kubernetes, Docker, Terraform
Experience with structured data such as Parquet, Protobuf, and concepts like schema evolution
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

Responsibilities

Leading and planning with team members and IT to identify and implement the right data strategy, given data sources, data locations, and use cases.
Processing logs into data platforms, analytics and custom visualizations for large scale data analysis.
Build, scale, and optimize self-serve ETL frameworks, streaming pipelines to handle data storage and real-time analytics
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