Title: How to Start your Career as a Big Data Engineer?
1How to Start your Career as a Big Data Engineer?
2Skills 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
3Average 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.
4Data 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.
5Certification For Big Data Engineers
6Depth 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.
7ETL 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
8Hadoop-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.
9Machine 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.
10Basic 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
11Knowledge 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.
12Final 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.
13Thank you
Happy learning