Who is a Big Data Engineer? Why 2020 Will Be a Desirable Year for Data Professionals
Haven’t you heard? 2020 is going to be a year where there will be inextricably high demand for big data skills. Data scientists, data engineers, and data analysts with experience in Python, R, and SQL top the list.
You may still think everyone knows what big data is by now, but you may still be wrong. Despite being the hottest buzzword for quite some time now, the misconception remains.
Leaders and stakeholders realize that big data alone has no inherent worth. The true value lies in the information a big data professional extracts to answer a specific business question.
Let’s explore a few points about the big data: -
· According to IDC, a mammoth of 163 zettabytes data a year to be generated by 2025.
· A 2019 report “Future of Data Talent” by Correlation One projected US$15.7 trillion contributions to the GDP growth by 2030.
These statistics reinstates that big data is here to stay and to proof that jobs in big data are increasing. One of the greatest reasons why mid-career professionals such as software engineers and web developers are switching to big data.
Besides these professionals, freshers are now getting themselves acquainted with big data tools and techniques.
📍What’s holding us back?
The dearth of big data talent!
Racing at breakneck speed, the growth of data has created new goals and challenges. Companies are now facing difficulty to build data teams to execute on their data strategies. Undifferentiated data talents in the big data space include data professionals such as professional data engineers and data scientists.
Shortage of skills, poor anticipation, and antiquated talent assessment are hurdles companies need to overcome to find the perfect unicorn.
Statistics you need to know: -
· By 2020, there will be approximately 2.7 million newer data-related job postings in the U.S.
· Expected 20% increase in the demand for data talent by 2020.
· 40% of the companies fail to hire the right talent due to short supply.
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📍Desirable but hard to find
Although the demand for data professionals supersedes, there is unconscious bias.
Top five skills you need to pick up to become a big data engineer
👉 Apache Spark — Apache Spark is crucial for data analytics. Apart from MapReduce which is complex, organizations are looking to expand their business operations by hiring big data professionals with skills in Spark.
👉Machine learning — The job market is still in need of professionals who can use machine learning to carry out predictive analytics. Companies such as Amazon, Spotify, and Amazon are seeking these engineers.
👉 NoSQL — NoSQL databases such as Couchbase and MongoDB have replaced traditional SQL databases such as Oracle and DB2 since they are better equipped with big data access and storage.
👉Apache Hadoop — Components such as Pig, HBase, Hive are seen to be in-demand by recruiters.
👉Setting up Cloud Clusters — Since big data offers reliability on networks, most of the task is outsourced to the cloud. To accommodate a wide volume of data, multiple clouds should be set up depending on the requirement of the company.
Moving forward, an 🔗associate big data engineer certification program will help you embrace the skills and tools at the beginning of your data career.
📍There are ways to mitigate these big data skills. How?
Big data engineering requires a lot more than just formal education. The current big data industry requires engineers to have a hybrid approach toward learning big data skills. Most data engineers generally own a Computer Science degree or Information technology degree which further parlayed through different vendor-specific certifications, independent certifications, and university big data certifications.
Earning a credible certification could hugely impact your career in the big data world. There are few data-engineering specific certifications offered by various platforms today — Cloudera, The Data Science Council of America, eCornell, and SAS Academy, etc.
Multiple engineers are opting for vendor-neutral platforms such as The Data Science Council of America . DASCA paints a pretty compelling picture for professionals looking to launch their careers in the big data field.
It is easy to say but much more difficult to implement. Irrespective of where your skills and experience are today, this platform offers world-class certification programs to enter the world of data. At DASCA, every learning path ends with you being equipped for success in the chosen field.
Isn’t this an incredible time to join the world of data?
📍Fear of missing out on this opportunity?
