Database Engineer

Job description

**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**



• 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

• 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



Essential Functions

• 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.

• Identify, evaluate and suggest new technology opportunities (including open source) that will have an impact on the enterprise-wide BI systems, machine learning, and predictive analytics.

• Work with vendors to provide cost estimates and general project management guidance



**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



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At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees.

This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.



**Equal Opportunity Employer:**



NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification.



**Why NetApp?**



We are all about helping customers turn challenges into business opportunity.

It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate.

We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches.



We enable a healthy work-life balance.

Our volunteer time off program is best in class, offering employees 40 hours of paid time off each year to volunteer with their favourite organizations.

We provide comprehensive benefits, including health care, life and accident plans, emotional support resources for you and your family, legal services, and financial savings programs to help you plan for your future.

We support professional and personal growth through educational assistance and provide access to various discounts and perks to enhance your overall quality of life.



If you want to help us build knowledge and solve big problems, let's talk.

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