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How to start your career as a big data engineer

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How to start your career as a big data engineer

  1. 1. www.JanBaskTraining.comCopyright © JanBask Training. All rights reserved How to Start your Career as a Big Data Engineer?
  2. 2. www.JanBaskTraining.comCopyright © JanBask Training. All rights reserved 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
  3. 3. www.JanBaskTraining.comCopyright © JanBask Training. All rights reserved 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.
  4. 4. www.JanBaskTraining.comCopyright © JanBask Training. All rights reserved 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.
  5. 5. www.JanBaskTraining.comCopyright © JanBask Training. All rights reserved 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
  6. 6. www.JanBaskTraining.comCopyright © JanBask Training. All rights reserved 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.
  7. 7. www.JanBaskTraining.comCopyright © JanBask Training. All rights reserved 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
  8. 8. www.JanBaskTraining.comCopyright © JanBask Training. All rights reserved 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.
  9. 9. www.JanBaskTraining.comCopyright © JanBask Training. All rights reserved 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.
  10. 10. www.JanBaskTraining.comCopyright © JanBask Training. All rights reserved 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
  11. 11. www.JanBaskTraining.comCopyright © JanBask Training. All rights reserved 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.
  12. 12. www.JanBaskTraining.comCopyright © JanBask Training. All rights reserved 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.
  13. 13. www.JanBaskTraining.comCopyright © JanBask Training. All rights reserved Thank you Happy learning

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