Nvidia Senior Data Engineer 

Israel, North District 

580140408

What you’ll be doing:

• Collaborate with multi-functional teams, including full stack engineers, data scientists, data engineers, and DevOps, to craft, implement and maintain scalable data pipelines, infrastructure and workflows.

• develop and support data models, schemas, and database structures that provide blazing-fast analytics performance. Constantly optimize data workflows to ensure seamless real-time and batch data processing.

• Implement data quality checks and monitoring mechanisms to ensure data integrity and accuracy at every stage. detect and resolve bottlenecks swiftly to maintain a highly available and reliable data ecosystem.

• Control, monitor and optimize worldwide production servers.

• Build and maintain scalable data pipelines, ensuring efficient data storage, retrieval, and transformation.

• Stay ahead of the curve in data engineering technologies and trends. Introduce new tools, techniques, and best practices to improve our data infrastructure, empowering data scientists and analysts alike.

• Foster a culture of learning and knowledge-sharing within the team. Guide and mentor junior data engineers, applying your expertise to uplift the entire department.

What we need to see:

• Bachelor’s or master’s degree in computer science, Engineering, or a related field.

• 4+ years of demonstrated track record as a hands-on Data Engineer, driving the successful delivery of complex data projects. Your experience speaks volumes.

• Experience with cloud-based data platforms like AWS, Azure, or GCP. You harness the power of the cloud to unlock data's full potential.

• Strong programming skills in languages such as Python, Java, or Scala, with experience in building scalable and efficient systems.

• Experience with containerization technologies like Docker and orchestration tools like Kubernetes.

• Solid knowledge in Linux environment.

Ways to stand out from the crowd:

• Attention to detail is unwavering. You take pride in delivering data of the highest quality, turning it into insights that power critical business decisions.

• Experience working and data engineering frameworks such as Kafka, Cloudera, Spark, Airflow or Hadoop.

• Thriving in a dynamic environment, able to juggle multiple priorities admirably without compromising on quality or precision.