Senior Data Platform Engineer

4 days ago


Santa Clara, California, United States NVIDIA Full time

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.

Key Responsibilities:

  • Designing, planning, and implementing custom cloud designs to meet our growing data needs.
  • Transforming data into reporting, analytics, and custom visualizations for large-scale data analysis.
  • Maintaining and expanding AWS infrastructure and toolsets.
  • Designing and implementing framework modules to extract data from various systems, validate integrity, apply business transformations, and store data in a Data Lake (AWS).
  • Building, scaling, and optimizing self-serve tools, custom ETL frameworks, and streaming pipelines for data storage and analytics on complex data sources.
  • Taking ownership of data platforms and transformation tools used in data engineering initiatives.

Requirements:

  • Bachelor's or Master's degree in Computer Science, or equivalent experience with programming knowledge.
  • 8+ years of relevant experience.
  • Proven experience in defining, leading, and building projects, collecting requirements, setting timelines, and delivering results.
  • Expertise in architecting, designing, developing, and maintaining data warehouses/data lakes for complex data ecosystems.
  • Working knowledge of Amazon Web Services, Kubernetes, Airflow, Docker, Terraform, Spark, Scala.
  • Strong Python experience with a focus on data extraction and transformations.
  • Experience with structured data formats such as Parquet, Protobuf, and concepts like schema evolution.

Preferred Qualifications:

  • Demonstrated expertise in software engineering with a strong emphasis on data engineering.
  • Experience in setting up AWS infrastructure from scratch and automating deployment processes.
  • Proven experience crafting and optimizing ETL pipelines using tools like Spark, SQL, and cloud services, where standard workflows fail because of data sizes.
  • An understanding of operational processes in semiconductor chips, boards, systems, and servers.
  • Self-starter with a positive problem-solving outlook, ability to multitask, and strong organizational skills.
  • Passion for solving complex software problems that span across multiple domains.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate 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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