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6 Most Popular Job Roles in Big Data


Big data is not about the size of the data, it’s about the value within the data. In computing terms, it refer to the extremely large sets of data that could be used to analyze the trends and patterns of a particular behavior. In a study, Gartner says “It’s not just about Big Data; it’s what you do with it.”

4 V’s of Big Data:

Volume: Volume defines the amount of data generated and stored. It contains enormous quantities of data that can range from terabytes (1000 GB) up to petabytes (1 million GB) in size. For example, Facebook, twitter, YouTube, etc. contains large quantities of data.

Velocity: It explains data that must be collected and analyzed rapidly to be useful, often at the same rate as they are collected in real time.

Variety: It refers to data consisting of many different forms, often brought together from varying sources. Now data comes in the form of emails, photos, videos, monitoring devices, PDFs, audio, etc.

Validity: Valid data is key to making the right decisions. The data must be correct and accurate for intended use.

Job roles and the skills required in Big Data:

Big data is like a big tree with its branches as various job roles that fit into different sub categories. We will discuss about certain most popular and in demand job titles or roles and the required skill set.

Big Data Engineer:
A big data engineer will be responsible for gathering and processing raw data. He should be able to create and process an organization’s Big Data infrastructure and tools.
Skills required: Data Analysis with Power Pivot, Python Programming, Cloudera Developer training for Apache spark or SAP HANA Implementation and modelling.

Big Data Analyst:
A big data analyst should be responsible to experience with the real-time analytics and various business intelligent platforms.
Skills required: MATLAB for Data Processing and Visualization, PES–SPSS Integration, R Language training, SAS Programming.

Big Data Administrator:
A big data administrator should be responsible for managing data security, data privacy, data backup, database recovery and data integrity.
Skills required: SQL Server 2016, Apache Cassandra databases, Cloudera training for Apache HBase.

Big Data Developer:
A big data developer should be able to design, develop and implement database systems; troubleshoot database related issues, bug-fixes.
Skills required: Cloudera developer training for Apache Hadoop, Cloudera Developer training for MapReduce, Cloudera training – using Pig, Hive and Impala with Hadoop, MongoDB.

Big Data Visualizer:
A Big data visualizer should have the understanding of UI design. He should be responsible for turning abstract information from various data analyses into clear visualizations to explain the result of analyses.
Skills required: Understanding and applying Tableau, QlikView Designer and developer, Analyzing data with Power BI.

Big Data Scientist:
A big data scientist should be able to identify the business problems occurring due to unstructured data. He should use his skills to clean and organize the enormous data by finding the right set of problems.
Skills required: Mastering Python, Java SE8 Programming, IBM Netezza Analytics – Using R and NZSQL, Cloudera Essentials for Apache Hadoop.

The list is as big as the name – ‘Big Data’, but we have covered some most popular job titles and the necessary skill set. Learn more and train yourself over various skills of Big Data with NetCom Learning. NetCom Learning is honored to be recognized as Microsoft’s Worldwide Training Partner of the Year by Microsoft, and as a Top 20 IT Training Company by TrainingIndustry.com for three years.
Don’t miss out! Explore Big Data training solutions with our expert instructors and Live Online training options at NetCom Learning.