How to Start your Career as a Big Data Engineer?

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How to Start your Career as a Big Data Engineer?
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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

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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.
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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.

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Certification For Big Data Engineers
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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.

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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

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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.

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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.

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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

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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.

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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.

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Thank you
Happy learning