NetApp Principal Data Engineer 

India, Karnataka, Bengaluru 

501044433

• Develop and maintain scalable data pipelines for various AI/ML-driven data services, which include ensuring reliable data ingestion, transformation, integration from various sources and maintaining ML feature and deployment pipelines.
• Ensure that data architectures and infrastructure can scale seamlessly as the data volume and complexity grow for NetApp’s data services.
• Build and maintain self-service data exploration and analysis platforms to derive insights from their respective data sources.
• Provide guidance and support to data analysts, engineers, scientists, and other stakeholders in leveraging the available data resources effectively.
• Oversee ML design reviews, create best practices and playbooks for end-to-end ML systems in production.
• Work with a great deal of autonomy and be the technical thought leader in creating a forward-looking vision with clear direction.
• Effectively communicate complex technical artifacts to both technical (engineers & scientists) and non-technical audiences
• Work closely with cross-functional teams including business stakeholders to innovate and unlock new use-cases for our customers that is driven through data intelligence.
• Participate in cross-functional meetings, workshops, and planning sessions to ensure data engineering activities support the overall objectives across data services and platform initiatives.
• Coaching and leadership for data professionals and the broader cross-functional team, helping influence and develop their skills and capabilities by fostering a culture of innovation and continuous learning.
• Have a strong customer focus and build data products that delight our users.
• Represent NetApp as a leader and ambassador in the machine learning community, building relationships with external partners and promoting the company's product capabilities in industry/academic conferences.

• Master’s in computer science, Engineering, Applied Mathematics/Statistics/Data Science, or any quantitative field.
• 10+ years of relevant industry experience as a data and machine learning engineer, with a strong track record of shipping successful AI/ML products at scale.
• 3+ years’ experience building data/feature pipelines and deployments for ML models across various domains in AI/ML (NLP preferred).
• High-level understanding of supervised and unsupervised machine learning algorithms and 5+ years of experience shipping them in production.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders at all levels of the organization.

• PhD in Computer Science, Engineering, Applied Mathematics/Statistics/Data Science, or any quantitative field.
• 3+ years’ experience in technically leading a team of data and machine learning engineers.
• Experience building pipelines for end-to-end AI/ML model deployment in the areas of security and/or privacy and/or compliance.
• Ability to represent the company as a thought leader in the data engineering community.
• High level understanding of deep learning approaches, preferably in the area of Natural Language Processing