Off Campus Drive 2020 Job In Brillio In Bangalore

Job Profile: Engineers

Degree Needed: BE/BTech

Batch Eligible: 2019/2020

Exp Needed: Freshers

CTC: Up to 45 LPA

Interview Location: Bangalore

Responsibilities:

• Determines operational feasibility by evaluating analysis, problem definition, requirements, solution development, and proposed solutions
•  Documents and demonstrates solutions by developing the documentation, flowcharts, layouts, diagrams, charts, code comments, and clear code.
  
  
•  Detail-oriented with the ability to rapidly learn and take advantage of new concepts and technologies
• Assess new application ideas
•  Research competitor offerings
•  Develop/Test applications (coding, programming)

Requirements:

•  Computer Science/Network Engineering, Engineering, or Mathematics major
•  Good analytical and mathematics skills
•  Ability to work in teams
•  Experience programming in C, C++, Java, NET(C#) or Apex (Force.
  
  com)
•  Good Knowledge on Databases like Oracle, SQL Server
•  Understanding of HTML and CSS Nice to have knowledge of JavaScript libraries such as JQuery
•  Good verbal and written communication

Key Requirements

• Excellent communication and problem-solving skills
• Understanding/Creation of framework and libraries
• Working on Agile environment
• Understanding of DevOps and integration
• Knowledge of tools like JIRA, Confluence, etc
• Knowledge of Cloud and containerization
• Good knowledge on DB
• Knowledge of API protocols
• Understanding of Mobility is an advantage
• Knowledge of Design patterns

Technologies

• Java (J2EE,Javascript (Angular / React / Node), DB
• Net (C#, SQL, Angular, React, Node)
• Microservices (API, Nodejs, J2EE)
• Experience Engineering (HTML5, CSS3, Angular / React, RWD, JSON)
• DevOps ((Ansible, SaltStack, Puppet, Docker, Chef and Windows PowerShell) + (Ruby / Python /Java / PHP).
  
  

Who are we:

As part of Brillio Analytics practice, you will partner with clients to build experiential data science products at scale and speed to bring a vision to life You will work with a bunch of energetic and passionate technologists fueled by data, fun, and curiosity who discover solutions hidden in large datasets

Your Role:

Data and Analytics Practitioner Intern

A day in the Life of Data and Analytics Practitioner at Brillio:

• You will partner closely with the project lead/manager to deliver state-of-the-art outcomes using solutions engineered by Consultants/Architects/Data Scientist
• You will develop and build on your expertise in Data Science, Big Data, Analytics, and Visualization tools/techniques daily to enable incremental innovation in on-going projects
• You will take complete ownership of various modules in the project, work independently and/or collaborate with the team extensively depending on the complexity of the task.
  
  
• At all times, you will clearly articulate and communicate with a diverse set of internal and external customers with varying degrees of technical proficiency and deliver critical business and process-related information to mitigate any risks or failures
• You will persistently look for opportunities to address customer needs by being a thought partner in every moment of engagement

For you to be successful, you must:

• Build partnerships within and outside the team regardless of formal authority
• Dismantle personal knowledge and empower others by mentoring and fostering an environment of growth
• Create value by anticipating and meeting the needs of internal and external customers and delivering high-quality results and be accountable for outcomes.
  
  
• Open and flexible to accommodate and implement new ideas, understand business complexities, nurture innovation and challenge the status quo persistently
• Grasp data that is available, pay attention to details and strive to be subject matter expert in the chosen area of specialty through continuous learning and improvement

You’ll bring this to the table:

• Ability to work in ambiguous situations with unstructured problems and anticipate potential issues/risks
• Experience in handling complex information and presenting it in compelling narratives through business presentations for various audiences
• Professional agility and strategic thinking.
  
  
• Experience in one of the data science algorithms – Regression, Clustering, Time Series Analysis in any domain Model development in R or Python is preferred

It would be exceptional if you also have this :

• Experience in applied machine learning techniques using supervised, unsupervised or natural language processing frameworks
• Ability to write and design technical business process documentation
• Ability to apply design thinking principles to simplify visualizations for large data sets.
  
  
• Excellent project management, relationship building, and organizational skills

Registration Requirements:
* The candidate should not have any backlogs
* The minimum aggregate percentage till 4th semester should be 65%
* Preferred branches are Computer Science/Information Technology/Electronics and Communication Engineering
* All code must be written during the event, cannot use existing code that you have written and finish it during the event
* Brillio reserves the right to use the codes written by the candidates for internal operations and the right to make changes to the event program
* There is no negative marking and the shortlist will be on performance
* Any kind of chicanery will lead to disqualification of the student’s candidature

 

Candidates can register for this Brillio Off Campus Drive Hiring by the following link from 25 February to 10 March 2020

Education : B.E/B.Tech

Brillio is looking for B.E. / B.Tech profile candidates.

Candidate Should Be Direct Apply Also

Brillio is an ideal partner for forward-looking companies that have a burning desire to be back in the driver’s seat. They are enterprises looking to push past industry standards. They want to bridge the gap between customer expectations and their business using technology. They are companies that are no longer responding to trends but creating trends.