Welcome to Recruitday’s blog series, The Top 10 IT Jobs in the Philippines 2022. Last week, we discussed the career of a system administrator. This time, we will explore the job of a data engineer. Are you ready?  

The role of data engineers is now more crucial than ever as society becomes highly digital and automated, which generates massive amounts of data. By 2025, the world could produce as much as 462 exabytes per day. Even with machine learning and deep learning, there’s no way to utilize that considerable amount of data without data engineers.   

But what is data engineering, anyway?  

Data engineering involves designing and building systems to collect, store, and analyze data in various industries. Organizations rely on data engineering to ensure that data scientists and analysts can effectively use the data they receive to make interpretations that can help decision-making. In a nutshell, data engineers make life easier for data scientists and analysts by enhancing data accessibility.   

A data engineer’s core responsibility is to build a database’s foundation and architecture from scratch using different techniques. Testing, monitoring system health, and getting rid of bugs are other tasks. If you’re planning to pursue a career in data engineering, it’s best to prepare for various duties and responsibilities.  

Data Architecture  

Data engineers develop a deep understanding of business requirements to develop the best data architecture to meet its needs. A systematic approach is essential in planning, building, and maintaining data architectures.  

Data Collection  

Data collection is crucial; thus, it must be done through suitable sources. Data engineers see to it, formulate dataset processes, and store optimized information.   

Research  

Being a data engineer involves perpetual research on industry trends and developments. This way, you can address any problems affecting a business and its database.   

Tools Flexibility  

Data engineers are responsible for learning and utilizing different programming languages and analytical tools to keep up with any development environment they work in. Nowadays, machine learning is huge, so data engineers should become adept with algorithms like decision tree, random forest, and k-means. In analytics tools, proficiency in Tableau, Apache Spark, and Knime is essential.   

Models and Patterns  

Successful data engineers love patterns. They spend lots of time finding patterns in data and interpreting them to create actionable insights and recommendations. It’s also their job to extract historical insights using descriptive data models and provide forecasts that organizations can rely on upon through predictive models.   

With significant duties and responsibilities, data engineers bring a lot of value to businesses and organizations, no matter their size and industry. However, the path to data engineering is challenging as it requires technical skills, knowledge, and experience.   
 

Essentials Skills for Data Engineers  

Businesses might struggle to measure customer retention, fraud, and churn rates accurately. Still, data engineers can receive guidance on how to steer the operation based on market and consumer movements. To fulfill a data engineer’s responsibilities, you should develop the following skills.  

• SQL – you can’t be a data engineer without developing the fundamental SQL skills set as it’s necessary to work on relational database management systems.   
   
• Data Warehousing – another essential skill is data warehousing, which allows you to aggregate unstructured data to improve business efficiency. 
     
• Coding – learning enterprise languages like Java and C# would significantly advance your career in data engineering. These skills are needed to link databases and work with web, mobile, desktop, and IoT applications.   
   
• Operating System – Windows, UNIX, Linux, and Solaris are the top operating systems that data engineers may want to be adept with. 
    
• Apache Hadoop-Based Analytics – adding this open-source platform to your arsenal will help you work better with different operations, including data processing, access, storage, security, and governance.   

• Machine Learning – while data scientists are the significant users of machine learning, developing this skill is vital. It will allow you to understand statistical analysis and data modeling better.   

Developing and mastering these skills take time, money, and energy. However, it’s all worth it in the end, as being a data engineer expands your horizons. It would also boost your earning potential. On average, a data engineer in the Philippines gets a monthly salary of Php120,000, enough to give you a comfortable lifestyle. Choices of the industry to work in are also vast, as almost every business or organization needs data engineers to run their operations smoothly, especially large entities. 

And that’s it for today’s discussion on the role of data engineer, the third on our list of top 10 most in-demand IT jobs in the Philippines. For the complete list, you can read it here.   

Next week, we’ll delve into the world of QA engineers: their duties, how to be one, and many more. See you!  

Ready to join a tech workforce of driven and motivated professionals? Check the available tech jobs in your chosen track, register in training courses to upskill, or refer your friends and earn today. 

 

AUGUST 25, 2022

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