How to start your career as a big data engineer

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How to Start your Career as a Big
Data Engineer?

Skills Needed To Become A Big Data Engineer
 In-depth knowledge of database solutions and SQL
 Knowledge of ETL tools and Data warehouse
architecture
 Hadoop-based Analytics
 Machine Learning Concepts
 Basic Coding Knowledge
 Knowledge of Multiple Operating Systems

Average Salary Of A Big Data Professional
The average salary of a Big Data Professional
is given as $178,776 and other similar roles to
Data Engineer include Data Scientists and
Data Analysts. People are usually confused
between two similar roles Data Scientist and
Data Engineer. So, this is worth understanding
the difference between two and their salary
packages too.

Data Engineers vs. Data Scientists
Data scientists - Data scientists are expected to interact with data infrastructure, data models, and data
statistics or reports. They are expected to take the raw data and provide actionable insights with the help
of advanced models and algorithms.
 Soft skills required for data scientists include intellectual curiosity combined with skepticism and
intuition, along with creativity.
 Data science requires knowledge of a number of big data platforms and tools
Data Engineers - Data Engineers are responsible to build infrastructure and generate the data architecture.
They are required to generate meaningful statistics or insights by analyzing data from multiple data sources.
 The job role of a Data engineer involves knowledge of many tools and data analytics
techniques.
 Data engineers are focused on advanced mathematics and statistical techniques too.

Certification For Big Data Engineers
•IBM provides Big Data certification that is specifically used by the Big Data
professionals, even they are required to have specific skills rather than any
general skill set. This can be a recognized and valuable certification.
IBM
Certification
•This certification can prove that the professionals are familiar with data
engineering principles and can easily work with any field or associated
function or field.
Google
Certification
•This certification may help to prove that the candidate has the skills and
knowledge of ETL tools.
CCP Data
Engineer

Depth Knowledge Of Database Solutions & SQL
Training Error:
 Data Engineers have to deal with data so
are expected to have in-depth or deep
knowledge of database management
system.
 Knowledge of SQL system is hugely
beneficial for the engineers and can help
them in taking organizational beneficial
decisions timely and in an organized
manner.

ETL Tools And Data Warehouse Architecture
Data Science Architecture
 Knowledge of ETL tools and Data warehouse architecture
 ETL experience and knowledge of data warehousing are important for this
position.
 Knowledge of Redshift or Panoply like data warehousing tools is necessary.
 Additionally, they are expected to know about Segment and stitch Data like
tools.
 They must be familiar with the data storage trends and retrieval tools are
needed frequently by professionals

Hadoop-Based Analytics
 The professionals must be familiar with
Hadoop tools like HBase, Hive, and
MapReduce.
 They are required to know about all
Hadoop tools and must be familiar with
them so that they can easily analyze and
understand the client requirement.

Machine Learning Concepts
Machine Learning
 At one hand, data scientists are expected to know about data deeply that is why
they must know somewhat about statistical analysis and data modeling tools that
may be proven hugely valuable.
 They must have huge and deep knowledge of data analytics.
In this way, the candidates can make themselves extremely marketable.
 Machine learning is part of data analytics, so the engineers are expected and required
to know the tactics of machine learning.
 Knowledge of machine learning tools and techniques can make you a perfect match
for the job.

Basic Coding Knowledge
 Knowledge of coding is essential and must for the
data engineers as many times they may have to
code their app and create a perfect and
matched solution for their clients.
 Data engineers may be required to possess coding
knowledge of various languages like Python, Java,
C/C++, Golang and many other languages.
 Even knowledge of various languages can help them in executing various roles and
responsibilities easily.
 Coding knowledge is the basic but not must requirement for Data Science professionals.
Coding may help them to learn various to

Knowledge of Multiple Operating Systems
 There are a number of operating systems in the market
and knowledge of all or a few of them can make you a
perfect data engineer.
 Operating systems are must for every data professional.
 it is essential for the professionals to know basics and all
required details of the operating systems so that they
can be used by them while designing any application.

Final Words
 Data scientist and data engineers are two professions
that may require almost similar skills.
 Big data or data science is the profession that has
become most in-demand and is required by most of
the organizations.
 You may even find a number of learning resources
that can help you to shape the career as a successful
data scientist expert.

Thank you
Happy learning

How to start your career as a big data engineer

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