Careers in Big Data

Now that you know that Big Data is really big today's world, you can well understand that so are the opportunities associated with it. Now IT market needs plenty of talented and qualified people who can use their knowledge/expertise to help the organization deal with Big Data.
Qualified and experienced Big Data professional must have a blend of technical expertise, creative and analytical thinking and communication skills to be able to effectively collate, clean, analyze and present information extracted from Big Data.

Jobs in Big Data are from companies that can be categories into the following four broad areas:

• Big Data Technology Drivers, e.g., Google, IBM, Salesforce.
• Big Data product companies, e.g., Oracle.
• Big Data services companies, e.g., EMC
• Big Data analytics companies, e.g, Splunk

Some companies logos that hire Big Data professional:-

The most common job titles for Big Data include:

• Big Data Analyst: A well-trained professional who is able to collect data from different sources, organize it in a suitable format and analyze the data to generate desired results.
• Data scientist: A thought leader who can collect and analyze data from various angles, determine what it indicates, and recommend ways to apply the data. It needs a combination of insight and technology expertise.
• Big Data Developer: A programmer who can design, create, manage and administrator large datasets, custom tools, and scripts, to achieve business goals.
• Big Data Administration: An administration who is responsible for planning and coordinating issues regarding system upgrades, management of data warehouse, management of data warehouse, allocation of workload, and storage.
• Big data Engineer: A professional who can design and develop an application using various frameworks and tools.

Skills Required for becoming Big Data professional

Big Data professionals can have various educational backgrounds, such as econometrics, physics, biostatistics, computer science, applied mathematics, or engineering. Data scientists mostly possess a master's degree or P.hd. because it is a senior position and often achieved after considerable experience in dealing with data. Developers generally prefer implementing Big Data by using Hadoop and its components.

Technical skills

Big Data analyst posses the following technical skills:

1. Understanding of Hadoop ecosystem components, such as HDFS. MapReduce, Pig, Hive etc.
2. Knowledge of natural processing.
3. Knowledge of statistical analysis and analytical tool.
4. Knowledge of machine learning.
5. Knowlege of conceptual and predictive modeling.

A Big Data developer should possess the following skills:

1. Programming skills in Java, Hadoop, Hive, Hbase, and HQL
2. Understanding of HDFS and MapReduce
3. Knowledge of Zookeeper, Flume, and Sqoop

Soft Skills

Organization look for professionals who possess good logical and analytical knowledge, with good 

soft skills and an affinity toward strategic business thinking.

The most preferred soft skills required for a Big Data professionals are:

1. Strong written and verbal communication skills
2. Analytical ability
3. Basic understanding of how a business works.

That's for today, In my previous blog we discuss What are Big Data, Features of Big Data, and  Careers in Big data.

In my next Blog We discussing Use of Big Data in Business Context.
Stay Tuned Guys.

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