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How To Become A Big Data Engineer | Big Data Engineer Skills, Roles & Responsibilities | Simplilearn

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How To Become A Big Data Engineer | Big Data Engineer Skills, Roles & Responsibilities | Simplilearn

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

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

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How To Become A Big Data Engineer | Big Data Engineer Skills, Roles & Responsibilities | Simplilearn

  1. 1. What’s in it for you?
  2. 2. Big Data Engineer Who is a Big Data Engineer?
  3. 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. 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. 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. 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. 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. 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. 9. Responsibilities of a Big Data Engineer Design, implement, verify and maintain software systems
  10. 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. 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. 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. 13. Responsibilities of a Big Data Engineer Building a data architecture in such a way that it meets all the business requirements
  14. 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. 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. 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. 17. 1 Programming Skills to become a Big Data Engineer
  18. 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. 19. 1 2 Programming In-depth knowledge on DBMS and SQL Skills to become a Big Data Engineer
  20. 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. 21. 1 2 3 Programming In-depth knowledge on DBMS and SQL ETL and warehousing tools Skills to become a Big Data Engineer
  22. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 36. Certifications for a Big Data Engineer Here are 3 important certifications a Big Data Engineer can opt for CCP Data Engineer
  37. 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. 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. 39. Simplilearn Certifications for a Big Data Engineer Simplilearn’s Big Data Courses can help you become a Big Data Engineer

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