What are the job trends in Big Data?

This topic contains 0 replies, has 1 voice, and was last updated by Abid Abid 1 year ago.

Viewing 1 post (of 1 total)
  • Author
  • #100070558

    What are the job trends in Big Data?

    Big Data Job Trends

    Big Data market has grown a lot in the last few years, and it is overgrowing. The job market in Big Data field will grow tremendously in the next couple of years. This growth will be seen in all the big data jobs. So, if you choose to learn Big Data, you will have a number of job opportunities to build a Big Data career. The yearly demand for data engineers, data scientists, and data developers will increase up to 700,000 new job postings by the year 2020. According to IBM, the demand for data scientists will grow by 28% by the year 2020. Also, the jobs in US market will increase in number by 364,000.

    The analytics skills considered most lucrative are Machine Learning, MapReduce, Apache Pig, Hive, and Hadoop. The jobs in all these technologies pay heavily. The data scientists and analytics professionals with skills in Apache Hive, Pig and Hadoop receive pay as high as $100K.

    In the overall Data Science and Analytics (DSA) field, 59% of the jobs are in the IT industry, Finance and Insurance industry and Professional Services. Finance and Insurance industry accounts for 19% of the jobs followed by Professional Services and IT with 18% and 17%. The jobs requiring the experts in Machine Learning, Data sciences, and big data technologies are most challenging to fill. This leads to extra efforts by recruiters along with the arising need for training programs for existing talent.

    The roles with the highest growth rate are Advanced Analysts and Data Scientists with the demand growth of 28% predicted by 2020. Data scientists and analysts are also the toughest jobs to fill for employers. The employers pay much more for these roles. Around 39% of Advanced Analyst and Data Scientists positions need a Ph.D. or Masters for the demanding job roles. The experienced candidates drive the salaries even higher than the normally paid.

    Job Titles under the Umbrella Term – Big Data Professional

    Big data professional is an umbrella term that all the professionals working on data sciences, data tools and technologies use. There can be confusion in these roles due to the complex nature of big data technologies. Hence it is important to understand what every role or job title is and what are the responsibilities of the role.

    Data Engineer

    Data Engineer is the popular job title in the big data world. This role is a part of a non-analytic career ladder. The data engineers are responsible for design and implementation of data infrastructure. The data engineer is a crucial role in managing the big data ecosystem. The engineer has to focus on Apache Hadoop ecosystem and Spark ecosystem along with databases.

    Data Management Professional

    This is the crucial role similar to the Database Administrator (DBA) role in IT. The Data Management professional manages the data-both structured and unstructured and the supporting infrastructure. The expert playing this role is essential for establishing the Big Data infrastructure in the organization.

    The essential skills required for this role are Hadoop related query languages like Pig and Hive. The Data Management Professional needs to gain knowledge of NoSQL databases, SQL and relational databases along with Apache Spark and Hadoop.

    Business Analyst

    This is the role of data analysis and data presentation. Business Analysts involves the responsibilities of creating reports, dashboards, and overall Business Intelligence. The role will involve interaction with the Big data frameworks and the databases as well. It is important for business analysts to possess knowledge of commercial dashboard packages and reporting solutions.

    Data-Oriented Professional

    Data-Oriented professionals or real Data Scientists carry expertise of data and related aspects of the tools used for data analysis. They need to know everything about statistics, data visualization and programming languages like R, SQL, Python, etc.

    Must-have Big Data Skills to Prosper in the Big Data Industry

    Learning Big Data skills and expertise for IT people is seen as the key to land a dream job and excel in their career. Data skills seem to unfold job opportunities wide open for the engineers and IT professionals these days. There are job roles like technology developer, Data engineer, Analytics engineer, etc. that are attracting the professionals all around the world.

    With the rise in demand for these skills, it has become essential for the IT people to up-skill themselves with these sought-after skills. The training and certifications available today can help to learn big data skills. It is also important to know the skills that you might want to focus on while training yourselves.

    Data Analytics and Data Sciences – With technology and finance adapting the data science technologies, the opportunities in these fields are huge. Data scientists and Advanced Analysts are the most rapidly growing job roles, and Data Scientist is certainly the best job in the US right now.

    Apache Hadoop – Big data has another name attached to it – Hadoop. Hadoop professionals have been in demand for a few years now. Hadoop is known to be the best platform for data processing and is used widely nowadays. The professionals with the knowledge of Hadoop stack including MapReduce, Pig, Hive, HDFS, HBase, etc. are in great demand.

    NoSQL Database – The NoSQL Database is another crucial part of Big Data environment as it takes care of the data storage and management. NoSQL professionals are in great demand in every industry. Engineers shall focus on learning MongoDB, Cassandra, and HBase for growth opportunities.

    Apache Spark – Another popular and must-have skill for big data professionals is to acquire Apache Spark expertise. It is the fastest growing job requirement in the data world. Job postings for Apache Spark are growing by 120% every year.

    Data Visualisation – It is an upcoming big data field where business context for data is in question. Data visualization allows the stakeholders and non-analysts to understand the data model and take decisions according to it.

    Certification Paths in Big Data

    You can opt for the recognized Big Data certifications like Cloudera and Hortonworks certifications. These two distribution platforms focus on the fundamental as well as advanced technologies that you can add to your resume to validate the Hadoop expertise.

    Cloudera Certifications

    The Cloudera certifications help you to demonstrate your technical skills with the following certifications:

    1. Cloudera Certified Associate (CCA)

    These certifications test the foundation skills required for CCP program. These certifications include:

    • CCA Spark and Hadoop Developer:This certification check the candidate’s ability to process and transform data with Apache Spark and Cloudera tools.
    • CCA Data Analyst:It checks the core skills of data analysis and data modeling that define the relationships from the input data.
    • CCA Administrator:The certification checks the cluster administration skills that the organizations require for managing the databases deployed using Cloudera.


    1. Cloudera Certified Professional (CCP)

    Cloudera offers CCP Data Engineer certification that checks the data science skills of the candidates.

    Hortonworks Certifications

    Hortonworks certifications help you validate your expertise in Big Data. Hortonworks certifications offered for the professionals are as follows:

    1. HDP Certified Developer (HDPCD)

    HDPCD certification is a hands-on exam where you need to perform a set of tasks. It is for the developers carrying the knowledge of Hadoop frameworks like Pig, Sqoop, Hive, and Flame.

    1. HDP Certified Apache Spark Developer (HDPCD-Spark)

    This is a performance-based certification that checks the practical skills of a candidate. The candidate has to perform real tasks on live products. It is for the developers working on Spark Core and Spark applications in Python or Scala.

    1. Hortonworks Certified Java Developer (HDPCD-Java)

    This certification is a hands-on exam for Java MapReduce jobs and Hadoop based applications written in Java.

    1. HCA or Hortonworks Certified Associate

    The certification HCA is for the entry-level skills or fundamental skills required for the higher level certifications offered by Hortonworks.

    1. Hortonworks Data Flow Certified NIFI Architect (HDFCNA)

    HDFCNA is for the architects of Data Flow working on NiFi and such streaming applications create Data Flows.

    How does a Big data Certification Help to Build a Rock Solid Big Data Career?

    Making a career in Big Data will require the right skills and expertise of the professionals. It is also important to showcase these skills the right way. To make a career shift in this booming field, certifications can prove to be helpful. Being certified in Big Data technologies and tools can give you a reliable proof of your skills. You will get a competitive edge over the others.

    • Acceptance in Industry – The certifications in Big Data market are widely accepted norm. Since technologies keep changing every few months, degree or diploma might not help you. For this fast changing scenario, certifications are the way to go for. These act as speedy learning intervals for you. At the same time, these will act as special points for your resume. The recruiters these days receive tonnes of applications. The candidates may have the similar qualifications and skills, but recruiters find certifications much more important criteria to filter out candidates.
    • Big Industry – As per predictions, Big Data industry is worth billions of dollars. There are huge growth prospects in big data tools in the software, infrastructure, and services industry. This is the reason for huge investments in this sector now.
    • High Salary – The lucrative salary packages are offered to Big data professionals. As the companies are adopting analytics and Data Science fast, they are looking for the talent. The good quality talent is scarce. Hence the companies offer very high packages as the demand is much more than the available talent.
    • Career Progression – Big Data certifications can help you greatly in learning the basic know-how, and this can prove to be a long-term gain. Analytics and data sciences can help hugely in your career progression.


    Bottom Line

    The future of the IT world and tech market is in the Big Data technologies. No industry can grow without making use of Big Data tools and technologies. Not to mention, the talent demand is rising with the requirement of Big Data implementation and data analysis. The professionals can gain a lot in their career if they learn Big Data technologies. Hence Big data is the part of changing the world that we live in today.


Viewing 1 post (of 1 total)

You must be logged in to reply to this topic.

Translate »