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Title:  Senior Data Engineer

Location: 

Research Triangle Park, NC, US, 27709

Requisition ID:  39965

 

Are you data-driven?  We at NetApp believe in the transformative power of data – to expand customer touchpoints, to foster greater innovation, and to optimize operations.  We are designed for simplicity, optimized to protect, created to embrace future opportunity, and open to enrich choice.  We are the data authority for hybrid cloud, and we are helping our customers realize the full potential of their data.

 

We’ve built a Data Fabric for a data-driven world – to simplify and integrate data management across the resources that are best for the business.  With the Data Fabric, our customers can harness the power of cloud data services, build cloud infrastructures, and modernize storage through data management.

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.

Essential Functions

  1. Organize, lead, and facilitate multiple teams on highly complex, cross-functional, enterprise data and analytics initiatives
  2. Develop and maintain scalable data pipelines and build out new integrations to support continuing increases in demand for various types of data
  3. 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
  4. Provide input to business requirements and prepares functional requirement document along with solution options
  5. Collaborate with key stakeholders to define KPI and build data metrics to measure KPI’s
  6. 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
  7. Analyze data with new perspectives and creative approaches to less defined issues involving unstructured and ambiguous data
  8. Explores enterprise data and discovers patterns, meaningful relationships, anomalies and trends to generate actionable insights
  9. Design and Implement reconciliation processes and systems to monitor data quality to ensure data is accuracy, completeness, and that reconciles with source systems
Job Requirements

 

J Requirements

  • Must possess strong subject matter expertise in at least two domains of Sales, Marketing, Install Base, Finance, and Customer Support areas.
  • Demonstrated ability to have completed multiple, complex technical projects
  • 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
  • Must have strong data orientation and keen aptitude to explore innovative ways to analyze data
  • 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, 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
  • Strong written and verbal communication skills
  • Excellent problem solving and troubleshooting skills
Education
  • 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

 

So get ready to tap into the data visionary within, and join us as we accelerate digital transformation and empower our customers to change the world with data!

 

If you ask a NetApp employee why they work here, the answer is inevitably the same: the people. At NetApp, our culture is at the heart of what we do. We place importance in trust, integrity, teamwork, and caring above all else. NetApp is a place where people are empowered to make a difference. Empowered to innovate. Empowered to collaborate. Empowered to help ourselves and others be data-driven and change the world. We take care of each other, our customers, our partners, and our communities simply because it’s the right thing to do.

 

We work hard but also recognize the importance of work-life balance for our employees because what’s important to them is important to us!  Recently we implemented Family First, which encourages employees to take paid time off to bond with a new child (through birth or adoption) or to care for a family member with a serious health condition.  Our volunteer time off program is best in class, offering employees 40 hours of paid time off per year to donate their time 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 and fitness centers. We also offer financial savings programs to help you plan for your future.  

 

Join us and see what empowerment can do. 

 

 

Equal Opportunity Employer Minorities/Women/Vets/Disabled


Nearest Major Market: Durham
Nearest Secondary Market: Raleigh

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