Big Data - A short introduction – Job and Career Prospects
The definition of big data is data that contains greater variety, arriving in increasing volumes and with more velocity. This is also known as the three Vs.
Volume - Organizations collect data from a variety of sources, including transactions, smart (IoT) devices, industrial equipment, videos, images, audio, social media and more.
Velocity - With the growth in the Internet of Things, data streams into businesses at an unprecedented speed and must be handled in a timely manner.
Variety - Data comes in all types of formats – from structured, numeric data in traditional databases to unstructured text documents, emails, videos, audios, stock ticker data and financial transactions.
Big Data consists of Semi-Structured and Unstructured Data which is generated by the following:
Rapid increase of Social Media Platforms like Facebook, YouTube, Twitter, Instagram, LinkedIn, Pinterest etc.
Availability of low cost Smart Mobile phones with Mobile Apps Loaded.
6.7 Billion Smart Phones in the world with Mobile Apps
Deployment of Low-Cost Sensors across the world - which is about 46 Billion Sensors connected by 2021
All the above technologies have contributed to the rapid rise in Big Data Technologies - like Internet of Things (IoT), Data Science, Artificial Intelligence (AI), Machine Learning (ML), Natural language processing (NLP)
Why Is Big Data Important?
Quicker and Better Decision Making Within Organizations
Improve Customer Experience
Provide better customer service
Create personalized marketing campaigns
Applications of Big Data –
Secure Air Traffic System
Financial and banking sector
Media and Entertainment Sector
Reasons Why Big Data Analytics is the Best Career Move –
Huge Job Opportunities & Meeting the Skill Gap
Adoption of Big Data Analytics is Growing
The Rise of Unstructured and Semi structured Data Analytics
Analytics: A Key Factor in Decision Making
Numerous Choices in Job Titles and Type of Analytics
Career Prospects and Jobs for Software Engineers in the domain of Big Data:
Global Big Data Analytics Market to Grow 4.5 Times by 2025.
The average salary for Big Data Jobs in India is - ₹ 7,00,000 per year
The average salary for Big Data Jobs in USA is $187,500 per year
Big Data Role & their average salary:
Big Data Engineer - ₹ 10,00,000 - 20,00,000 P.A.
BIG DATA LEAD DEVELOPER - ₹ 16,00,000 - 30,00,000 P.A.
Big Data Developer - Python/Hadoop - ₹ 5,00,000 - 9,00,000 P.A.
Big Data Quality Assurance Engineer - ₹ 8,00,000 - 9,00,000 P.A.
Big Data Engineer / Python/ Scala /Spark /panda /matplotlib - ₹ 11,00,000 - 13,00,000 P.A.
Big Data Engineer - Spark, Scala, AWS - ₹ 10,00,000 - 18,00,000 P.A.
Big Data Engineer - $140,000 - $160,000 P.A
Bigdata Cybersecurity engineer - $180,000 - $190,000 P.A
Big Data Testing Engineer -$180,000 - $190,000 P.A
Big Data Solutions Architect - Data & Analytics
What are the skills required for Big Data Engineer:
Familiarity with Business Domain and Big Data Tools
Data Visualization Skills
SQL – Structured Query Language
Familiarity with Programming Skills
Familiarity with Cloud Technologies like – Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP)
Familiarity with data analysis tools, especially SQL, NoSQL, SAS, and Hadoop.
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Article Contributed by BigDataLogin Operations Team - with inputs from various global resources. Website: https://www.bigdatalogin.com/
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