Innovation is changing a lot of things in the world. New technologies are improving lives as well as creating new opportunities. With these new technologies comes new career opportunities and jobs that never existed before. Several years ago some of the new buzz words like big data and machine learning are not in vogue but today they are not just mere words, they are very important aspects of our lives.
Here are some jobs that didn’t exist 10 years ago
Drone Pilots/Operators: A Drone is an unmanned aerial vehicle (UAV). A drone operator is someone that controls and maneuvers a drone. You can start piloting a drone with little practice. If you just want to fly a drone for personal use or fun, all you need to do is learn how to control it and follow laws that regulate drone use.
However, you can become a commercial drone operator and fly drones commercially. In order to operate a drone commercially, you’ll need to get a remote pilot certification.
Mobile App Developer: Mobile app development is the act or process by which an application software is developed for mobile. Mobile app developers create apps for mobile phones. Mobile app development became mainstream when Apple launched iPhone in 2007 and Google launched Android in 2008. To become a mobile app developer you will need to learn programming languages used in developing mobile apps such as Swift, Java, C++, C# etc.
Social Media Manager: The rise of Facebook, Twitter, Instagram etc created this job. A social media manager handles content creation and interaction with customers on companies’s social media accounts. To become a social media manager you should be conversant with using social media platforms and digital marketing.
Uber Drivers: Uber is a peer-to-peer ridesharing, taxi cab, food delivery, and transportation network company. Since launch of Uber in 2009, many people use the service across many countries. Uber has operations in over 633 cities worldwide. Uber drivers are normal drivers who signup on uber platform to provide taxi and ridesharing services. To become an Uber driver you need to have a driving license and a car the meets the minimum requirement or signup to an Uber partner.
Cloud computing specialist: Cloud computing became more popular over the last few years. Cloud computing is when companies move physical information technology (IT) activities, such as file storage and on-site servers, to a virtual environment. A cloud computing specialist helps companies in managing their information and services in the cloud. To become a cloud computing specialist, you will need strong system architecture and troubleshooting skills. You should also have background working with system architecture components, such as networking and software.
Youtube content creators: YouTube is biggest video-sharing website. With rise in popularity of Youtube, many companies and individuals now run media / online TV on top the platform. A Youtube Content Creator is responsible for initiating, creating, and producing optimized/creative videos on youtube channels. Youtube content creators develop, design, plan and execute shoots and productions and edit videos for youtube platform. To become a youtube content creator you should be skilled in design and editing apps or programs that create engaging social content (e.g., Adobe Photoshop, iMovie, Final Cut Pro, Canva, Splice, Meme Creators, Typorama). You should also have experience in photography/video/content creation and production.
Self-driving car engineer: Driverless cars are here with us. many companies like Google (Waymo), Tesla, Apple, Uber etc have been working on driverless cars for some years. To become a self-driving car engineer you should be open to learning many things like vehicle networks, deep learning, fast RNN, inceptions, understanding CANBus nodes, debugging electronics (get your hands dirty with solder station), flashing ECUs, and so on. You can start with Udacity’s self-driving car engineer nanodegree program.
Big Data Analyst: Big data analysts helps in examining large and varied data sets (big data) to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions. To become a big data analyst you need to
- Have good knowledge of computer programming. You need to be comfortable with coding in languages like R, Python, Java, C++, Ruby, SQL, Hive, SAS, SPSS, MATLAB, Weka, Julia, Scala etc.
- Have experience with relational and non -relational database systems.
- Have good knowledge of Statistics and linear algebra.
- Have good understanding and familiarity with frameworks such as Apache Spark, Apache Storm, Apache Samza, Apache Flink and the classic MapReduce and Hadoop.
- Have a good knowledge of the domain one is working on
