What are the required skills to get a job as Big Data and Hadoop as beginner?

I want to share most important skills :- Knowledge in Hadoop is Obvious. Good knowledge in back-end programming, specifically java, JS, Node.js and OOAD. Writing high-performance, reliable and maintainable code. Ability to write MapReduce jobs. Good knowledge of database structures, theories, principles, and practices. Ability to write Pig Latin scripts. Hands on experience in HiveQL. Familiarity with data loading tools like Flume, Sqoop. Knowledge of workflow/schedulers like Oozie. Analytical and problem solving skills, applied to Big Data domain Proven understanding with Hadoop, HBase, Hive, Pig, and HBase. Good aptitude in multi-threading and concurrency concepts. For more details please check out the website :- <a rel="nofollow" target="_blank" href="https://goo.gl/SFGUA1" style='word-wrap:break-word;'>https://goo.gl/SFGUA1</a>

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Typically, a Big Data Hadoop architect addresses specific Big Data problems and requirements. If you take up this role, you will be expected to describe the structure and behavior of a Big Data solution utilizing the Hadoop technology. You will need to cater to the needs of both the organization as well as Big Data specialists and engineers, and act as a link between them. Any organization that wants to build a Big Data environment will require a Big Data architect who can manage the complete lifecycle of a Hadoop solution – including requirement analysis, platform selection, design of technical architecture, design of application design and development, testing, and deployment of the proposed solution. Ensure you meet these primary requirements To be a Big Data Hadoop architect, you’ve got to have advanced data mining and data analytical skills. Which requires years of professional experience in the Big Data field. If you have the skills listed here, you’re on the right track: - Marketing and analytical skills: The ability to process and analyze data to understand the behavior of the buyer/customer. - RDMSs (Relational Database Management Systems) or Foundational database skills - The ability to implement and use NoSQL, Cloud Computing, and MapReduce - Skills in statistics and applied math - Data visualization and data migration Moreover, your role as a data architect, will be of more importance as many businesses are now turning to data architects than a data analyst or a database engineer. A data architects with the skills to integrate data from different sources is the need of the hour. As a data architect, you will play a important role working closely with users, system designers, and developers.

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