This presentation will help you understand how to become a Big Data Engineer. First, you will learn who is a Big Data Engineer and what are their roles and responsibilities. Then, you will see the seven essential skills you need to have to become a Big Data Engineer. You will understand the different range of salaries and job roles of a Big Data Engineer. Finally, this video will tell you the necessary certifications you can opt for after becoming a Big Data Engineer. Now, let’s get started with learning the steps to become a Big Data Engineer. Below topics are explained this "how to become a Big Data Engineer" presentation: 1. Who is a Big Data Engineer 2. Responsibilities of a Big Data Engineer 3. Skills to become a Big Data Engineer 4. Big Data Engineer's salary and roles 5. Certifications for a Big Data Engineer 6. Simplilearn certifications for a Big Data Engineer YouTube Link: https://www.youtube.com/watch?v=yHf7qzFV6Qg What is this Big Data Hadoop training course about? The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab. What are the course objectives? This course will enable you to: 1. Understand the different components of the Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark 2. Understand Hadoop Distributed File System (HDFS) and YARN as well as their architecture, and learn how to work with them for storage and resource management 3. Understand MapReduce and its characteristics, and assimilate some advanced MapReduce concepts 4. Get an overview of Sqoop and Flume and describe how to ingest data using them 5. Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning 6. Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution 7. Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations 8. Understand HBase, its architecture, data storage, and working with HBase. You will also understand the difference between HBase and RDBMS 9. Gain a working knowledge of Pig and its components 10. Do functional programming in Spark 11. Understand resilient distribution datasets (RDD) in detail 12. Implement and build Spark applications 13. Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques 14. Understand the common use-cases of Spark and the various interactive algorithms 15. Learn Spark SQL, creating, transforming, and querying Data frames Learn more at https://www.simplilearn.com/big-data-and-analytics/big-data-and-hadoop-training

1. What’s in it for you?

2. Big Data Engineer
Who is a Big Data Engineer?

3. Big Data Engineers are professionals who develop, maintain, test
and evaluate a company’s big data infrastructure
Big Data Engineer
Who is a Big Data Engineer?

4. Big Data Engineers are professionals who develop, maintain, test
and evaluate a company’s big data infrastructure
Develop
Big Data Engineer
Who is a Big Data Engineer?

5. Big Data Engineers are professionals who develop, maintain, test
and evaluate a company’s big data infrastructure
Develop Maintain
Big Data Engineer
Who is a Big Data Engineer?

6. Big Data Engineers are professionals who develop, maintain, test
and evaluate a company’s big data infrastructure
Develop Maintain Test
Big Data Engineer
Who is a Big Data Engineer?

7. Big Data Engineers are professionals who develop, maintain, test
and evaluate a company’s big data infrastructure
Develop Maintain Test
Integrate
Big Data Engineer
Who is a Big Data Engineer?

8. Big Data Engineers are professionals who develop, maintain, test
and evaluate a company’s big data infrastructure
Develop Maintain Test
EvaluateIntegrate
Big Data Engineer
Who is a Big Data Engineer?

9. Responsibilities of a Big Data Engineer
Design, implement, verify and maintain software systems

10. Responsibilities of a Big Data Engineer
Design, implement, verify and maintain software systems
Build highly scalable robust systems for ingestion and processing of data

11. Responsibilities of a Big Data Engineer
Design, implement, verify and maintain software systems
Build highly scalable robust systems for ingestion and processing of data
Carry out ETL process by extracting data from one database, transforming it and
loading it to another data store

12. Responsibilities of a Big Data Engineer
Design, implement, verify and maintain software systems
Build highly scalable robust systems for ingestion and processing of data
Carry out ETL process by extracting data from one database, transforming it and
loading it to another data store
Research and propose new methods to acquire data, improve data quality and
efficiency of the system

13. Responsibilities of a Big Data Engineer
Building a data architecture in such a way that it meets all the business requirements

14. Responsibilities of a Big Data Engineer
Building a data architecture in such a way that it meets all the business requirements
Generating a structured solution by integrating several programming languages and
tools together

15. Responsibilities of a Big Data Engineer
Building a data architecture in such a way that it meets all the business requirements
Generating a structured solution by integrating several programming languages and
tools together
Mining data from various sources to build models that can reduce complexity and
increase the efficiency of the whole system

16. Responsibilities of a Big Data Engineer
Building a data architecture in such a way that it meets all the business requirements
Generating a structured solution by integrating several programming languages and
tools together
Mining data from various sources to build models that can reduce complexity and
increase the efficiency of the whole system
Work with other teams, including data architects, data analysts, and data scientists

17. 1
Programming
Skills to become a Big Data Engineer

18. Programming
1
Java C++ Python
Programming skills is one of the most important aspects required to
become a Big Data Engineer. Hands-on experience in any
programming language is always a benefit
Skills to become a Big Data Engineer

19. 1 2
Programming In-depth knowledge on
DBMS and SQL
Skills to become a Big Data Engineer

20. 2
Skills to become a Big Data Engineer
Data Engineers need to have a good understanding of how data is
managed and maintained in a database. So, they need to know
how to write SQL queries for any RDBMS
In-depth knowledge on
DBMS and SQL

21. 1 2 3
Programming In-depth knowledge on
DBMS and SQL
ETL and warehousing
tools
Skills to become a Big Data Engineer

22. 3
Skills to become a Big Data Engineer
ETL and warehousing
tools
As a Big Data Engineer, you need to know how to construct and
use a data warehouse and carry out ETL operations. It helps you
aggregate unstructured data from one or more sources and
analyze it for better business

23. 1 2 3
4
Programming In-depth knowledge on
DBMS and SQL
Knowledge on OS
ETL and warehousing
tools
Skills to become a Big Data Engineer

24. Knowledge on OS
4
Skills to become a Big Data Engineer
Intimate knowledge of Unix and Linux is necessary as most tools are
based on these systems due to their unique demands for root access
to hardware and operating system functionality

25. 1 2 3
4
5
Programming In-depth knowledge on
DBMS and SQL
Hadoop based analytics
Knowledge on OS
ETL and warehousing
tools
Skills to become a Big Data Engineer

26. Hadoop based analytics
5
Skills to become a Big Data Engineer
Strong understanding of Apache Hadoop-based technologies are frequent
requirements in this space, with knowledge of HDFS, MapReduce, HBase,
Pig, and Hive are often considered a necessity

27. 1 2 3
4
65
Programming In-depth knowledge on
DBMS and SQL
Hadoop based analytics Real-time processing
frameworks
Knowledge on OS
ETL and warehousing
tools
Skills to become a Big Data Engineer

28. Real-time processing
frameworks
6
Skills to become a Big Data Engineer
Big Data Engineers often deal with vast volumes of data, so they need an
analytics engine like Spark for large-scale real-time data processing

29. 1 2 3
4
75
Programming In-depth knowledge on
DBMS and SQL
ETL and warehousing
tools
Hadoop based analytics Real-time processing
frameworks
Data mining and
modeling
Knowledge on OS
6
Skills to become a Big Data Engineer

30. Data mining and modeling
7
Skills to become a Big Data Engineer
Data Engineers examine massive pre-existing data to discover patterns
and new information to build predictive models for business

31. The average salary of a Big Data Engineer in US is around $90,000 and
ranges from $66,000 - $130,000. In India, the average salary is around Rs
700,000 and ranges from Rs 400,000 – Rs 13,00,000
Source: payscale.com Source: glassdoor.co.in
$66,000 - $130,000
USA
400,000 - 13,00,000
India
Big Data Engineer’s salary and roles

32. The average salary of a Big Data Engineer in US is around $90,000 and
ranges from $66,000 - $130,000. In India, the average salary is around Rs
700,000 and ranges from Rs 400,000 – Rs 13,00,000
Source: payscale.com Source: glassdoor.co.in
$66,000 - $130,000
USA
400,000 - 13,00,000
India
Big Data Engineer’s salary and roles
Job profiles to look for after becoming
a Big Data Engineer
Big Data Engineer

33. The average salary of a Big Data Engineer in US is around $90,000 and
ranges from $66,000 - $130,000. In India, the average salary is around Rs
700,000 and ranges from Rs 400,000 – Rs 13,00,000
Source: payscale.com Source: glassdoor.co.in
$66,000 - $130,000
USA
400,000 - 13,00,000
India
Big Data Engineer’s salary and roles
Job profiles to look for after becoming
a Big Data Engineer
Big Data Engineer
Senior Big Data Engineer

34. The average salary of a Big Data Engineer in US is around $90,000 and
ranges from $66,000 - $130,000. In India, the average salary is around Rs
700,000 and ranges from Rs 400,000 – Rs 13,00,000
Source: payscale.com Source: glassdoor.co.in
$66,000 - $130,000
USA
400,000 - 13,00,000
India
Big Data Engineer’s salary and roles
Job profiles to look for after becoming
a Big Data Engineer
Big Data Engineer
Senior Big Data Engineer
BI Architect

35. The average salary of a Big Data Engineer in US is around $90,000 and
ranges from $66,000 - $130,000. In India, the average salary is around Rs
700,000 and ranges from Rs 400,000 – Rs 13,00,000
Source: payscale.com Source: glassdoor.co.in
$66,000 - $130,000
USA
400,000 - 13,00,000
India
Big Data Engineer’s salary and roles
Data Architect
Job profiles to look for after becoming
a Big Data Engineer
Big Data Engineer
Senior Big Data Engineer
BI Architect

36. Certifications for a Big Data Engineer
Here are 3 important certifications a Big Data Engineer can opt for
CCP Data Engineer

37. CCP Data Engineer IBM Certified Data
Architect – Big Data
Certifications for a Big Data Engineer
Here are 3 important certifications a Big Data Engineer can opt for

38. CCP Data Engineer IBM Certified Data
Architect – Big Data
Google Cloud Certified
Data Engineer
Certifications for a Big Data Engineer
Here are 3 important certifications a Big Data Engineer can opt for

39. Simplilearn Certifications for a Big Data Engineer
Simplilearn’s Big Data Courses can help you become a Big Data Engineer