In
today's ecosystem, most of the businesses are upgrading themselves with
automated solutions and making this process more effective and accurate most of
the service providers collect an enormous amount of data from an individual. In
today's technological world, it's not so easy to collect every bit of data,
rather than collecting all the data it is essential to gain useful insights
from large data sets, and that's the main reason big data and data analytics is
hyped so much in the current scenario. Hence, the demand for big data engineers
and data analytic experts have raised in global corporations in the past few
years.
In the current scenario, due to this massive shift of data from offline to online
platforms, Corporates are implementing data analytics in their existing
infrastructure and this creates an ample number of big data positions for data science engineers. An in-depth study of user's data becomes a crucial task when
it comes to making subjective decisions for tasks like branding and hiring of
human resources.
It has no doubt that data scientists are always high on demand in most industries,
and experts with technical skills like programming language and big data
analytics are at the topmost positions in this domain.
Here is an explanation of why one should opt Big data as a career choice in the year 2020:
It does
not doubt that our expanding economy is based on smart decisions made after the
analysis of data. Most of the businesses, whether its a big retail chain or a
small grocery shop all are tapping over big data tools to gain consumer data
and gain insights that can help with smarter business decisions.
The future of our transportation is self-driving vehicles, major techno giants are
already in the testing phase for these vehicles, and this kind of technology
requires several sensors that collect and process data in real-time. A
self-driving vehicle connects to a big database to make decisions when
traveling in the real world. Hence it's obvious that technologies like machine
learning and big data are the future of humankind.
Believe
it or not, big data is already an essential part of our business ecosystem.
Regardless of the size, all businesses need to adopt data management tools for
effective operations. This mass adoption of technology like Big data does
create thousands of big data jobs in USA alone. In the coming future, the need
for Big data professionals and data analysts will keep on increasing.
Considering the massive potential of big data technology, we have curated the best paid big data jobs for you:
1. Big
Data Analyst: Bigdata analytics jobs are the most in-demand position across all industries. A
big data analyst is responsible for gathering and analyzing a variety of data
sets with the help of advanced analytic tools. To attain such a respected job
title, one must be proficient with reporting tools like SQL Database, Microsoft
Access, Share Point, and Excel. If one becomes an expert in basic data
processing techniques, they can step ahead and secure the position of database
manager. The average annual salary for big data analytics jobs is around $65000
for starters and around $75000 for experienced professionals.
2. Data
Security Specialist: It is a
data security specialist's responsibility to ensure that the entire IT security the infrastructure of an organization is safe and secure from potential threats
from other networks and intrusions. Any IT infrastructure in a data warehouse
heavily relies on data, and these professions have to ensure that security
software like firewalls and Access Control Lists (ACLs) are always updated. A
data security specialist must have a vast working experience with different
programming languages and should have advanced knowledge of different operating
systems. An average salary for data security specialist is around $105000 for a
year.
3. Big
Data Engineer: A big
data engineer has to improve algorithms and develop data sets for further
analysis of data. They improve data accessibility and design advanced tools for
end-users to have smooth access to readable data sets. The basic education
requirements for this position is engineering in computer science, having
advanced certifications for Linux and SQL gives you an edge over other
competitors. The average salary for big data engineers in USA is around
$125000. Some of the required skills for the post are Java, Python, Kafka,
Hive, and Storm.
4. Big
Data Scientist: A big
data scientist plays a versatile role in the field of data science. They
collect and analyze complex data sets. The foremost difference between a data
analyst and a data scientist is that a data scientist works additionally to
create a variety of data models that help with strategic decisions. Most of the
positions for a data scientist requires a Master's Degree in computer science.
Knowing data processing methods like Clustering, regression analysis, and
vector machines is a must for a data scientist. The average salary for the role
of big data scientists is around $120000.
5. Data
Architect: A data
architect is a key person who works behind the architecture strategies to
create relational databases that are later used to manage the entire business
data model. A data architect might not be at the top of the hierarchy but can
earn you an average salary of $135000 in a year. If you are looking for big
data architect jobs, you must have extensive knowledge of SQL and XML. A data
architect job may be considered as one of the best paying big data jobs in the
field of data science.
Final thoughts over high paying Big Data positions:
It does
not doubt that the field of big data is still emerging and have great potential
to become one of the best career choices for tech talent. One can start their
career as a big data developer and then achieve some of the top positions like
Big Data Architects and Big Data Scientists in the later stages of career. Big data jobs not only come with lucrative salaries but also gives you the power to
predict what's next going to happen in any business. Even the entry-level
executives can expect an average salary of $50000 in the very initial phase of
their career.
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