Everybody knows what a data engineer is, but they are perplexed about what a Big Data Engineer does. It might be even more perplexing to try to figure out what skills are required and how to learn them. But don't worry—you're in the right place! This blog on "Big Data Engineer Skills" will educate you on what a Big Data Engineer does. Then we'll align those tasks to the correct skills and display the best way to learn them.
What is a Data Engineer
A Data Engineer is a person who creates and builds big systems that process lots of data. They ensure that such systems are in proper working order, operate effectively, and are able to process lots of information.
A Data Engineer does what?
Some major duties of Data Engineers are mentioned below:
•Construct and verify large systems that store and respond to data.
• Ensure the systems are strong, quick, and less prone to breaking.
• Control the ETL process—this means that they capture the data, transform it into the appropriate form, and transfer it to where it is needed.
• Customize the system to fit your business needs.
• Enhance the way to gather and utilize data.
• Attempt to make the data more precise and dependable.
• Combine and intermix different tools and programming languages to develop an end-to-end solution.
• Make models to simplify the system and make it less costly.
• Install backup systems in the event of failure.
• Add new tools to enable the system to function optimally.
Big data engineer vs. data engineer: what's the difference?
We are living in a time when information is critical—similar to how gasoline is to automobiles. New methods and tools to utilize information have developed over the years, such as NoSQL databases and Big Data systems.
While Big Data gained popularity, the role of a Data Engineer also evolved. They now have to deal with much more and complicated data. Due to this, they are referred to as Big Data Engineer now. Big Data Engineers must acquire new systems and tools to make, design, and maintain the way big data is gathered and utilized.
What Does a Data Engineer Do?
1. Data Acquisition
This involves gathering data from numerous various sources and storing them in one big reservoir known as a data lake. Data comes in numerous different formats (such as images, videos, or numbers), so Data Engineers need to be aware of how to gather and upload data efficiently.
They employ various methods such as batch loading (loading a lot of data at a time) or real-time loading (loading data as it arrives). They even employ tricks such as loading in stages or loading all at once to expedite the work.
2. Changing Data
Raw data is not necessarily useful at first. It needs to be transformed into a more suitable form. Data Engineers alter the shape or structure of the data as per requirements.
It may be simple or complicated based on the nature of the data. They may employ specialized programs or design their own codes to accomplish this.
3. Performance Optimization
Data Engineers make sure the system is quick and can handle large amounts of data. They make the data flow efficient and allow users to easily utilize reports and dashboards.
They use methods like partitioning (data splitting), indexing (creating a list of data to access quickly), and de-normalization (structuring data to read easily).
Major Responsibilities of a Big Data Engineer
• Establish and maintain data pipelines (data conduits for transfer).
• Capture and convert raw data from diverse sources to facilitate business requirements.
• Speed up the data system by automating operations and rearranging elements.
• Process and store Big Data with Hadoop and NoSQL databases.
• Establish systems to hold and revise data for easy use in reports and analysis.
Skills Required to Work as a Big Data Engineer
- Big Data Tools / Hadoop Frameworks
- Hadoop is an application for processing and storing big data. It was designed by Doug Cutting and is used by numerous organizations today.
- It stores data on several computers and enables engineers to work with data quickly.
- There are many tools in Hadoop, and each tool is a help in several operations in handling big data.
- Big Data Tools You Should Know as a Big Data Engineer
In order to be a Big Data Engineer, you need to learn some special tools. The tools assist you in collecting data, storing data, transmitting data, and processing large volumes of data.
Some of the key ones are listed below:
1. HDFS (Hadoop Distributed File System)
This is where data is kept on many computers. It spreads the data to keep it safe and easy to use. It’s the foundation of Hadoop, so it is important to learn it.
2. YARN
YARN manages resources. It determines how much memory or energy a task requires. It assists in scheduling when jobs must execute.
3. MapReduce
This program helps to handle a vast amount of data by dividing the work into tiny tasks and executing them at the same time. This accelerates work.
4. Hive and Pig
• Hive helps individuals familiar with SQL (computer database language) view data.
Pig is employed in order to transform or mold data using scripts.
They are easy if you know a bit of SQL.
5. Flume and Sqoop
• Flume collects unstructured data, such as logs or text files.
• Sqoop exports and imports structured data (e.g., database tables) from and to Hadoop.
6. ZooKeeper
This utility assists all of the services in the system to coexist. It controls settings and synchronizes them all.
7. Oozie
Oozie is like a planner for tasks. It arranges many small tasks and converts them into a single big task and runs them sequentially.
8. Apache Spark
Spark is used when rapid action is required—such as searching for fraud or making suggestions. It processes data in a fast manner and is Hadoop-compatible.
9. Database Design
Big Data Engineers must be aware of how databases are designed and work. They must be aware of various database designs such as 1-tier, 2-tier, or 3-tier structures and how data is organized.
10. SQL (Structured Query Language)
SQL is used to modify and update the data stored in databases. SQL statements must be familiar to Data Engineers. Knowledge of PL/SQL (an extended form of SQL) is also beneficial.
11. NoSQL (e.g., MongoDB and Cassandra)
When data is not clean columns and rows, NoSQL is employed. NoSQL databases can support a lot of data and enable fast modifications. They are suited for messy or varied types of data.
How to obtain Big Data certification?
We are an Education Technology company providing certification training courses to accelerate careers of working professionals worldwide. We impart training through instructor-led classroom workshops, instructor-led live virtual training sessions, and self-paced e-learning courses.
We have successfully conducted training sessions in 108 countries across the globe and enabled thousands of working professionals to enhance the scope of their careers.
Our enterprise training portfolio includes in-demand and globally recognized certification training courses in Project Management, Quality Management, Business Analysis, IT Service Management, Agile and Scrum, Cyber Security, Data Science, and Emerging Technologies. Download our Enterprise Training Catalog from https://www.icertglobal.com/corporate-training-for-enterprises.php and https://www.icertglobal.com/index.php
Popular Courses include:
-
Project Management: PMP, CAPM ,PMI RMP
-
Quality Management: Six Sigma Black Belt ,Lean Six Sigma Green Belt, Lean Management, Minitab,CMMI
-
Business Analysis: CBAP, CCBA, ECBA
-
Agile Training: PMI-ACP , CSM , CSPO
-
Scrum Training: CSM
-
DevOps
-
Program Management: PgMP
-
Cloud Technology: Exin Cloud Computing
-
Citrix Client Adminisration: Citrix Cloud Administration
The 10 top-paying certifications to target in 2025 are:
Conclusion
Big Data Engineers work and manage massive data sets using specialized applications and software. It takes mastery of critical skills such as Hadoop, Spark, and SQL to be successful. iCert Global courses will equip you with the appropriate skills for a successful big data career.
Contact Us For More Information:
Visit :www.icertglobal.com Email : 
Comments (0)
Write a Comment
Your email address will not be published. Required fields are marked (*)
.webp)
WhatsApp Us /