Are you ready to unlock your potential in the world of big data? In today's job market, skills in big data are in high demand, opening up exciting career opportunities for fresh graduates and young professionals like you. With the exponential growth of data across industries, companies are seeking skilled individuals who can navigate the vast amounts of information and extract valuable insights.
Big data refers to the massive volumes of structured and unstructured data that organisations collect on a daily basis. This treasure trove of information holds the key to making informed business decisions, improving processes, and driving innovation. However, without the right skills, this data has untapped potential.
To excel in this field, it is crucial to acquire a set of core competencies that will enable you to harness the power of big data effectively. In this article, we will explore the top 7 big data skills that are currently in high demand.
1. Multi-Cloud Computing
Multi-cloud computing is a powerful approach that involves using multiple cloud platforms to process and analyse big data. By leveraging the strengths of different providers, organisations can optimise storage, scalability, and cost-effectiveness. This skill is in high demand as companies seek to maximise their data processing capabilities.
To gain expertise in multi-cloud computing, consider pursuing a degree in computer science or cloud computing. Additionally, certification programmes such as AWS Certified Solutions Architect or Google Cloud Certified Professional Cloud Architect provide specialised training.
Companies like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud are at the forefront of hiring professionals skilled in multi-cloud computing.
2. Visualisation
Data visualisation plays a crucial role in converting raw data into actionable insights. It enables decision-makers to understand complex information quickly and make informed choices. As big data continues to grow, professionals with expertise in visualisation tools like Tableau and Power BI are highly sought after.
Upskilling opportunities in data visualisation are abundant through online courses and workshops. Various online platforms offer specialised programmes on data visualisation techniques and best practices.
3. Machine Learning and AI
The intersection of big data and machine learning/artificial intelligence (AI) has revolutionised data analysis. Machine learning algorithms can quickly process vast amounts of data, providing valuable insights and predictions. Professionals with skills in both big data and machine learning/AI are highly sought after.
According to industry projections, the demand for professionals skilled in machine learning and AI is expected to grow exponentially. With the rise of automation and predictive analytics, companies across industries are seeking talent proficient in this domain.
4. NoSQL & SQL
NoSQL and SQL databases are essential for managing large datasets efficiently in the era of big data. NoSQL databases like MongoDB provide flexibility for unstructured data storage, while SQL databases like MySQL enable structured query languages for structured data management.
To acquire expertise in NoSQL and SQL databases, consider pursuing certifications like MongoDB Certified Developer or Oracle Certified Professional (OCP). Various online platforms offer comprehensive courses on database management systems.
Professionals skilled in NoSQL & SQL can find opportunities across various industries, such as finance, healthcare, e-commerce, and marketing agencies.
5. Data Pipelines
Data pipelines play a crucial role in streamlining the processing of big data. They involve a series of steps that collect, transform, and load data for analysis. Professionals skilled in designing and managing data pipelines are in demand. Developing expertise in data pipelines can be achieved through online courses and certifications.
Prominent organisations hiring professionals skilled in data pipelines include tech giants like Amazon, Microsoft, and Google. Additionally, companies specialising in big data analytics, such as Cloudera and Snowflake, offer exciting career prospects.
6. Hyper Automation
Hyper automation refers to the use of automation tools to maximise efficiency in big data processes. It involves integrating artificial intelligence, machine learning, and robotic process automation (RPA) to automate repetitive tasks.
Professionals with expertise in hyper automation find job prospects as automation specialists, business analysts, or RPA developers. They streamline workflows by identifying areas for automation and deploying tools like UiPath or Automation Anywhere.
Certification programmes specialising in hyper-automation technologies include UiPath Certified Professional Developer or Blue Prism Accredited Developer. These programmes provide hands-on training on building automated solutions.
With the increasing reliance on automation for efficient big data processing, organisations across industries are actively seeking professionals skilled in hyper-automation technologies.
7. DevOps
DevOps plays a crucial role in ensuring smooth collaboration between development teams and operations teams for big data projects. It emphasises continuous integration, delivery, and deployment to optimise software development processes.
Relevant certification programmes or courses to enhance DevOps skills include AWS Certified DevOps Engineer, Microsoft Certified: Azure DevOps Engineer, and Google Cloud Certified: Professional DevOps Engineer.
Professionals skilled in DevOps are highly sought after as organisations aim to streamline their big data processes by improving collaboration between development and operations teams.
Upskilling and Reskilling Opportunities
Upskilling and reskilling are essential for professionals looking to excel in the field of big data. Continuous learning helps individuals stay updated with the latest technologies and trends.
There are several ways to upskill and reskill in big data. Online platforms offer a wide range of courses on topics such as data science, machine learning, cloud computing, and database management.
Additionally, WiZR provides expert guidance on courses and upskilling programmes tailored to your career goals. They also offer financing options for young professionals seeking career-focused upskilling or certification programmes.
By investing in continuous learning and acquiring new skills in big data, you can unlock exciting career opportunities and stay ahead in this rapidly evolving field.
FAQs
1. What are the most popular big data jobs?
The most popular big data jobs include data scientist, data analyst, big data engineer, business intelligence analyst, and data architect.
2. What are some emerging trends in big data careers?
Emerging trends in big data careers include edge computing, real-time analytics, explainable AI, automated machine learning, and ethical considerations in data science.
3. How much do big data professionals earn?
Big data professionals can earn lucrative salaries depending on their experience and job role. On average, in India, a data scientist earns around ₹8-12 lakhs per annum, while a senior big data engineer can earn upwards of ₹15 lakhs per annum.
4. Which big data skills should I highlight in my resume?
When highlighting your big data skills on your resume, focus on the specific skills relevant to the job you are applying for. Include skills such as programming languages, SQL/NoSQL databases, machine learning algorithms/models/tools, and visualisation tools.
5. Who can help me choose the right upskilling programmes for my career?
WiZR's team of expert consultants can assist you in choosing the right upskilling programmes tailored to your career goals and aspirations. With their guidance and expertise in the fields of big data education and career guidance, they can help you take the next step towards your dream career.
