Intel Recruitment 2019:
About Company
Intel Corporation (commonly known as Intel and stylized as intel) is an American multinational corporation and technology company headquartered in Santa Clara, California, in the Silicon Valley. Intel was an early developer of SRAM and DRAM memory chips, Intel Corporation was founded on July 18, 1968, which represented the majority of its business until 1981. It has Number of employees is 110,200 and Net income is US$21.0 billion.
Aspirants who are freshers of 2019 passed outs looking to get software job to settle in software field, so they can choose Intel company is one of the option to build future. Candidates are eligible of educational qualification can apply. It can give best salary. For more jobs you can regularly visit our site www.jobmela4u.com.
Intel Recruitment 2019 | Software Engineer Intern | Bangalore
Company: Intel
Job Designation : Software Development Engineering Intern-Analytics
Job Location : Bangalore
Salary : Best In Industry
Experience : Freshers/Experience
Education Qualification : Bachelor of Science/Engineering Degree
Website : www.intel.in
Job Designation : Software Development Engineering Intern-Analytics
Job Location : Bangalore
Salary : Best In Industry
Experience : Freshers/Experience
Education Qualification : Bachelor of Science/Engineering Degree
Website : www.intel.in
Job Description
Responsibilities:
The role is for a software engineer to be part of Enterprise analytics team.
As part of this role, the engineer will deliver Analytics solutions built on Hadoop framework and utilizing BI/Analytics tools from Microsoft, Salesforce etc.
The role involves development of new capabilities to the Hadoop/Analytics framework using modern scripting languages and multithreading capabilities.
Plans, designs, develops and tests software systems or applications for software enhancements and new products including cloudbased or internetrelated tools. Analyzes requirements, tests and integrates application components; Ensure the system improvements are successfully implemented. Drives unit test automation. Be well versed in the latest development methodologies like Agile, Scrum, DevOps and test driven development.
Should also enable solutions that take into account APIs, security, scalability, manageability, usability, and other critical factors that contribute to complete solutions.
Usually holds an academic degree in Computer Science, Computer Engineering or Computational Science.
Required Skills:
Demonstrated aptitude through course electives and/or projects in Data/Analytics domain
Demonstrated good design acumen as well as programming skills in Analytics (scripting languages, SQL, any 1 programming language)
Demonstrated aptitude for problem solving, understanding data architecture and automation orientation
Ability to work with a broad peer group
Self-organizing ability and fast learner .
Solid knowledge on computer architecture, operating system, data structure & algorithm, and distributed systems.
Familiar with Open Source software development model and process.
Knowledge of JAVA and multi threaded applications is a plus
Knowledge of AI/ML tools
The role is for a software engineer to be part of Enterprise analytics team.
As part of this role, the engineer will deliver Analytics solutions built on Hadoop framework and utilizing BI/Analytics tools from Microsoft, Salesforce etc.
The role involves development of new capabilities to the Hadoop/Analytics framework using modern scripting languages and multithreading capabilities.
Plans, designs, develops and tests software systems or applications for software enhancements and new products including cloudbased or internetrelated tools. Analyzes requirements, tests and integrates application components; Ensure the system improvements are successfully implemented. Drives unit test automation. Be well versed in the latest development methodologies like Agile, Scrum, DevOps and test driven development.
Should also enable solutions that take into account APIs, security, scalability, manageability, usability, and other critical factors that contribute to complete solutions.
Usually holds an academic degree in Computer Science, Computer Engineering or Computational Science.
Required Skills:
Demonstrated aptitude through course electives and/or projects in Data/Analytics domain
Demonstrated good design acumen as well as programming skills in Analytics (scripting languages, SQL, any 1 programming language)
Demonstrated aptitude for problem solving, understanding data architecture and automation orientation
Ability to work with a broad peer group
Self-organizing ability and fast learner .
Solid knowledge on computer architecture, operating system, data structure & algorithm, and distributed systems.
Familiar with Open Source software development model and process.
Knowledge of JAVA and multi threaded applications is a plus
Knowledge of AI/ML tools
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