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This video is based on 6 Reasons To Become A Data Engineer. In this video, we delve into the role of a Data Engineer and present 6 compelling reasons why it's an incredible career choice. From building cutting-edge solutions to unlocking valuable insights, join us as we embark on an exciting journey through the world of Data Engineering. If you're seeking a dynamic and impactful profession, don't miss out on the opportunities that await you as a Data Engineer!
3. Agenda
Who is a Data Engineer ?
Reasons to become a Data Engineer
4. What is the purpose of ETL (Extract, Transform, Load) in
data engineering?
A. Building data models for reporting
B. Extracting data from external APIs
C. Extracting, cleaning, and preparing data for analysis
D. Generating real-time data visualization.
5. Smart decisions
Improved efficiency
Greater Insights
Who Is a Data Engineer ?
They are like architects of data highways, ensuring that
information flows easily from one place to another.
6. Who Is a Data Engineer ?
They create tools and structures that enable businesses to process and analyze
data effectively
Collect
Organize
Manage
8. Contributing to Cutting-Edge Technologies
Data Engineers are involved in creating and implementing innovative
solutions to handle big data challenges
Distributed systems
Data processing frameworks
Cloud based infrastructures
9. The Foundation of Data Science
• Data engineering forms the backbone of data science.
• As a data engineer, you get to collaborate with data scientists, analysts, and other
stakeholders to design and implement data solutions
Strategic decisions
Improve Customer experience
Optimize operations
10. Positive job Outlook
Companies recognize the importance of data-driven decision-making, they
are actively seeking skilled data engineers
Finance
Healthcare
E-commerce
11. High Salary Packages
Data engineers are among the highest-paid professionals in the technology industry.
13. Rewarding
Data engineers experience a sense of accomplishment that comes from playing a critical
role
Data Integration
Data quality
System reliability
14. Job Security and Reliability
Organizations rely heavily on their data infrastructure, and the expertise of data
engineers
As long as data remains crucial to
businesses, data engineers will continue to
be in demand,