A minimum of 3 to 6 years of experience with Bachelor of Science Degree in Computer Science, Management Information Systems, or Business, or related field is required
Locations
Interview Locations
Bangalore
Job Locations
Bangalore 560071
Skills Requirement
Key Skills
Data Analytics
Desired Skills
Experience with Enterprise level Data Analytics Platforms including Data warehouse and Business Intelligence systems
In-depth knowledge of System platforms, and operating systems including Linux & Windows
Experience in one (and preferably more) of the following languages: Java, Python, Shell, Go or Ruby
Exposure to Big Data Analytics (data and technologies), Data Sciences, predictive analytics, modelling, machine learning, in-memory applications
Exposure to On Premise and cloud deployments – AWS, Google, Azure
Strong Platform experience in RDBMS Databases – Hana, Oracle, Incorta
Understanding of Data Analytics application stack – ETL and Reporting tools
You will be part of Enterprise Data & Analytics team responsible for supporting all the mission critical systems/services to ensure high Availability and Reliability at Scale. Data Systems 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 Data platforms, and business environment and an interest in going beyond the obvious, aptitude for new tools/technologies, and obsession for customer success. Design, build and use the various tools that would help in managing, scaling and monitoring the cutting-edge technology. You must be able to triage complex technical issues in collaboration with various teams.
Primary Job Duties:
Develop tools and framework to improve operational efficiency and automation
Design, prototype, implement, test and troubleshoot deployment strategies
Provide support for Data Warehouse and Business Intelligence (BI) solutions and platforms
Participate in design, architecture review and deployment of Data Warehouse data models and solutions
Automate common, repeatable tasks at large scale to streamline operational procedures
Use and maintain version control for application infrastructure
Important Instructions
How to Apply ?
Please read all job details clearly and apply exactly as mentioned below only if you meet eligibility criteria.
About Company: NetApp is a leader in hybrid cloud data services. In a world increasing of complexity, we simplify. We help our customers ensure their data and applications are in the right place at the right time with the right characteristics and capabilities in order to achieve new insights and accelerate innovation. We do this by helping customers build their data fabrics.
Together with our partners, we empower organizations to unleash the full potential of their data to expand customer touchpoints, foster greater innovation and optimize their operations.
At NetApp, there is one thing more important than data—and that is people. Our culture and our people are 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 change their world with data. We take care of each other, our customers, our partners, and our communities simply because it’s the right thing to do.