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Senior Big Data Engineer – SBDE™

Awarding body

Information Systems Audit and Control Association (ISACA).


Information Technology (IT)

This program is about:

Helping aspiring Big Data Engineers build longer–lasting sets of specialized and sound skills and a more in-depth Big Data perspective. It seeks to develop in learners a strong generic and platform–based understanding of the concepts, principles, tools, techniques, and technologies needed for designing, developing, and applying analytics frameworks, and the utilities required for sharper information management and decision making.

At the end of the program, you will be able to:

  1. Apply the foundations of data science for big data.
  2. Apply Python and Hadoop 3 for big data.
  3. Use R and Python for massive data.
  4. Understanding the use of combination of tools in data analytics applications.
  5. Use R and Python to program Machine Language and AI applications.
  6. Use MongoDB Shell applications in streaming data storage.
  7. Use Kafka streams in building streaming applications.
  8. Use Apache Flink for big data streaming and batch processing.
  9. Build a data analytics pipeline.

The program provide you with:

  1. Foundations of Data Science
  2. Data Processing Framework and Hadoop
  3. Big Data Analytics Basics
  4. R and Hadoop Applications
  5. Analytics in Machine Learning and Ai
  6. Streaming Data Storage
  7. Streaming Data Architectures
  8. Streaming & Batch Data Processing
  9. Enterprise Data Analytics Implementation

The program is suitable for:

  • Profession level: Big Data Engineers who seek to build longer–lasting sets of specialized and sound skills and a more in-depth Big Data perspective.
  • Education level: BSc in engineering, IT, computer science, software engineering and any related field of science. Or Diploma in the same fields with some years of experience.

Awarding body:

Data Science Council of America (DASCA)


Data Science Council of America (DASCA)

Type of certificate:



Online Exam

Career progression:

It leads to higher career levels: Senior Data Scientist (SDS™)


Enma Institue

Tamkeen support scheme:

Professional Scheme

Learner Obligations:

Compliance to program rules & regulations set by the institute and awarding body.


  • Foundations Of Data Science
  • Data Processing Framework And Hadoop
  • Big Data Analytics Basics
  • R And Hadoop Applications
  • Analytics In Machine Learning And Ai
  • Streaming Data Storage
  • Streaming Data Architectures
  • Streaming & Batch Data Processing
  • Enterprise Data Analytics Implementation

35 hours


2-5 hours/week




Senior Big Data Engineer – SBDE™







Program Cost

1,000 BD

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