NVIDIA
System Data Software Engineer
NVIDIA, Santa Clara, California, us, 95053
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.
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.
What you'll be doing:
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.).
5+ years of relevant experience.
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.
Ways to stand out from the crowd:
Do you have a strong understanding of operational processes in semi-chips, boards, systems, and servers?
In-depth experience in crafting ETL pipelines using Spark, SQL, AWS/Cloud.
Experience with SAP systems integration, Datamart, Business objects as well as experience with visualization tools like Tableau, PowerBI, Jupyter Notebooks.
With competitive salaries and a generous benefits package, we are considered to be the technology industry's best employers. If you are a creative engineering leader with a real passion for technology, we want to hear from you. Come build the future with us!
The base salary range is 132,000 USD - 258,750 USD. 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 accepts applications on an ongoing basis.
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.
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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.
What you'll be doing:
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.).
5+ years of relevant experience.
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.
Ways to stand out from the crowd:
Do you have a strong understanding of operational processes in semi-chips, boards, systems, and servers?
In-depth experience in crafting ETL pipelines using Spark, SQL, AWS/Cloud.
Experience with SAP systems integration, Datamart, Business objects as well as experience with visualization tools like Tableau, PowerBI, Jupyter Notebooks.
With competitive salaries and a generous benefits package, we are considered to be the technology industry's best employers. If you are a creative engineering leader with a real passion for technology, we want to hear from you. Come build the future with us!
The base salary range is 132,000 USD - 258,750 USD. 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 accepts applications on an ongoing basis.
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.
#J-18808-Ljbffr