Title:  Data Engineer

Location: 

Research Triangle Park, NC, US, 27709

Requisition ID:  104722

About NetApp

We’re forward-thinking technology people with heart. We make our own rules, drive our own opportunities, and try to approach every challenge with fresh eyes. Of course, we can’t do it alone. We know when to ask for help, collaborate with others, and partner with smart people. We embrace diversity and openness because it’s in our DNA. We push limits and reward great ideas. What is your great idea?

"At NetApp, we fully embrace and advance a diverse, inclusive global workforce with a culture of belonging that leverages the backgrounds and perspectives of all employees, customers, partners, and communities to foster a higher performing organization." -George Kurian, CEO

Job Summary

You will be part of Enterprise Data & Analytics team responsible for identifying analytical needs, exploring new technologies, and applying data sciences/machine learning concepts to maximize value from data assets.  Senior Data Engineer will work closely with key stakeholders both IT and Business to turn data into critical information and knowledge that can be used to make sound business decisions.  The individual must have an in-depth understanding of the business environment, an interest in going beyond the obvious, aptitude for new tools/technologies, and obsession for customer success

Job Requirements

  • Organize, lead, and facilitate multiple teams on highly complex, cross-functional, enterprise data and analytics initiatives
  • Develop and maintain scalable data pipelines and build out new integrations to support continuing increases in demand for various types of data
  • Collaborate with business, solution/enterprise architects to translate business requirements into scalable solution options and provide input to Business Analytics and Master Data roadmap/strategy
  • Provide input to business requirements and prepares functional requirement document along with solution options
  • Collaborate with key stakeholders to define KPI and build data metrics to measure KPI’s
  • Partner with business in data analysis (small and big) and demonstrate good judgment in solving problems as well as proactively identifying and resolving data issues
  • Analyze data with new perspectives and creative approaches to less defined issues involving unstructured and ambiguous data
  • Explores enterprise data and discovers patterns, meaningful relationships, anomalies and trends to generate actionable insights
  • Design and Implement reconciliation processes and systems to monitor data quality to ensure data is accuracy, completeness, and that reconciles with source systems
  • Define and develop cognitive solutions for business needs, incorporating technologies in Machine Learning, AI, and Analytics.

Education & Experience

  • Must possess strong subject matter expertise in at least two domains of Sales, Marketing, Install Base, Finance, and Customer Support areas
  • Data modeling experience in Enterprise Data Warehouse and DataMart
  • Hands-on experience in SQL, Python, NoSQL, JSON, XML, SSL, RESTful APIs, and other related standards
  • Hands-on emphasis with a proven track record of building and evaluating data pipes, and delivering systems for final production
  • Exposure to Big Data Analytics (data and technologies), Data Sciences, predictive analytics, modelling, machine learning, in-memory applications
  • Experience with various data systems like Oracle Data Warehouse, Snowflake, HVR, Informatica IICS, SAP HANA, Hadoop/Hive, Vertica, Redshift, Presto, Mangodb
  • Experience in all phases of a Software Development Life Cycle.  Well versed in different project life cycle management methodologies – Waterfall and Agile. 
  • Strong understanding devops, on-premise, and cloud deployments - AWS, Google, Azure
  • A minimum of 7 years of experience is required, including 3+ years solid relevant experience in Business Analytics.
  • Bachelor of Science Degree in Computer Science, Management Information Systems, or Business, or related field is required

Did you know…
Statistics show women apply to jobs only when they’re 100% qualified. But no one is 100% qualified. We encourage you to shift the trend and apply anyway! We look forward to hearing from you.

Why NetApp?

In a world full of generalists, NetApp is a specialist. No one knows how to elevate the world’s biggest clouds like NetApp. We are data-driven and empowered to innovate. Trust, integrity, and teamwork all combine to make a difference for our customers, partners, and communities. 
 
We expect a healthy work-life balance. Our volunteer time off program is best in class, offering employees 40 hours of paid time off per year to volunteer with their favorite organizations.  We provide comprehensive medical, dental, wellness, and vision plans for you and your family.  We offer educational assistance, legal services, and access to discounts. We also offer financial savings programs to help you plan for your future.  
 
If you run toward knowledge and problem-solving, join us. 

U.S. Residents Only: In accordance with NetApp’s Policy, all U.S. employees of NetApp must be fully vaccinated against COVID-19 if they work at a Company location or remotely. If there is a reason preventing you from receiving the COVID-19 vaccination, you must request and be approved for one of the legally acceptable exemptions and reasonable accommodation must be established.


Nearest Major Market: Durham
Nearest Secondary Market: Raleigh

Job Segment: Machinist, Data Warehouse, ERP, Data Modeler, Cloud, Manufacturing, Technology, Data