Are you interested in the following areas:
- Information Technology
- Numbers, graphs, charts, etc.
If yes! Then big data engineering could be a great choice for you. This article will walk you through some of the important aspects of working as a big data engineer.
What does it mean to be a big data engineer?
A big data engineer is a person who is in charge of a company's data development, maintenance, testing, analysis, and evaluation. Extremely massive data sets are referred to as "big data." In today's market, it is usual for businesses to acquire significant amounts of data while doing their commercial activities.
How important are big data engineers in companies?
Big data, when handled correctly, can be extremely advantageous to businesses in terms of increasing productivity, profitability, and sustainability. Companies' big data, on the other hand, is useless until a big data engineer is hired to create systems to gather, manage, and extract data. As a result, big data engineers are ultimately responsible for assisting firms in managing their large data.
What are the typical job roles performed by big data engineers?
Big data engineering involves the following job roles:
- Creating and deploying software systems
- Developing methods for gathering data and processing it
- Developing data structures that match the needs of the company
- Finding out new approaches for getting and upgrading relevant data are being investigated
- Using a variety of computer languages and tools to create structured data solutions
- Building efficient business models by mining data from various sources and collaborating with data scientists, analysts, and other teams.
What are the top-notch skills required by big data engineers?
Innovation and creativity cannot happen with outdated skills and techniques. Working on the aforementioned job roles is not a piece of cake! It requires big data engineers to be updated with the latest skills and technologies, such as:
- Computer programming languages like C++, Python, Java
- Data modeling and mining
- Apache Hadoop and Spark
- Data warehousing and ETL
- Databases and SQL
- Informatica, Pentaho, Talend, and so on.
What is a preferred roadmap to become a big data engineer?
According to recent BLS reports, big data engineering is expected to grow greatly in demand over the next four to five years, making it a promising career path to pursue.
The steps to begin your journey as a big data engineer can be:
To obtain a degree
To want to be a big data engineer, you will need to master all of the technical abilities listed above, which entails a significant amount of study. Many big data engineers have a bachelor's or master's degree in a relevant subject like statistics, computer science, or business data analytics.
Big data engineers must be statistics, coding, and data experts. For big data engineer positions, most employers require a bachelor's degree.
To earn big data engineering certifications
Talking about big data engineering certifications, every program is updated, and every firm adjusts its tactics to stay ahead of the competition, so why should big data engineering experts be any different?
Organizations have established precise criteria to evaluate your skill set, and data engineering certification have become obligatory to measure your knowledge. Despite the skills deficit in this field, the competition is fierce. Employers hunt for professionals with up-to-date skills, which is fair enough since big data engineers are offered handsome salary packages compared to other job roles in the IT sector. You will need the necessary certifications to demonstrate your abilities and command such high salaries. Here are some best data engineering certifications that you can earn:
- Certified Big Data Professional (CBDP)
- Associate Big Data Engineer (ABDETM)
- Cloudera Certified Professional (CCP) Data Engineer
- Google Cloud Certified Professional Data Engineer
To gain experience
When it comes to landing a job as a big data engineer, experience is a huge plus. Interning, practicing, freelancing, independently, or working in comparable employment are several ways to obtain experience. The more experience you have, the more likely you are to land a job as a big data engineer.