As ventures understand the exponential worth expansion that Big Data and line up innovations like Hadoop can bring to their ordinary work. The interest in skillful expertise for both the spaces has abruptly grown in the previous year.
Not only big market players like Facebook, Flipkart, Amazon, Microsoft, Google, IBM, Citibank, Accenture, KPMG, etc. are selecting Big Data expertise. This is yet in addition to high-end new businesses like Sigmoid Analytics, Fractal Analytics, Heckyl, Crayon Data, and so on. The salaries in both cases are comparable; while the exposure to learning-on-the –go varies with resources in enterprises being supported by well-set processes while resources in startups having more flexibility in terms of designing the applications.
The overall entry-level salaries in Big Data and Hadoop are set to rise by 3.8% in 2020. The actual role-specific salaries depend on the skill set of the resource and the depth of experience in working on core Big Data projects.
How skill-set affects the Compensation?
The most looked for after aptitudes are Python, Hadoop, R, NoSQL, Scala, Spark, and customary RDBMS with a solid establishment in Statistics and math.
On average, a developer who knows R earns significantly more than the one who knows Python. This is because R is still widely used in the industry. However, since an all-round talent is preferred, developers should focus on learning both the languages, so that they have an edge in the machine learning aspect of Big Data analysis.
Read Article: Think Big with Big Data
In the case of data scientists, those who know Big Data and Data Science could earn 8% more than their regular counterparts. Predictive modeling is the key skill here.
The four most significant aptitudes that support the pay exclusively by the beneath referred to figures are:
- Skills Hadoop - Add 7% to the total salary.
- Skills ETL - 6% Add to the total salary.
- Database Skills Oracle – 6% Add to the total salary.
- Microsoft SQL Server Database Skills – Add 8% to the total salary.
What are normal base pay scales for the various job roles?
As there is a boom in startups and eCommerce industry alike, there is a huge demand at all levels for professionals of Hadoop and Big Data’s role in leadership. However, due to the shortage of skilled resources, Gartner predicts that only 1/3 of the hiring demands will be met globally, while 2/3 positions remain unfilled. That makes about 20% of the all-out occupations in India – after the US; this is the second biggest interest for such experts.
Here are the Job roles analysis, and the compensations in USD according to the US market:
- EDI Specialist: $77,500 - $118,750 (2%)
- Data Analyst/Report Writer: $77,500 - $118,750 (3.8%)
- Portal Administrator: $96,000 - $138,750 (2.8%)
- Database Administrator: $98,500 - $148,500 (3.6%)
- Data Warehouse Analyst: $107,500 - $155,750 (2.4%)
- Database Developer: $108,000 - $161,500 (5.1%)
- Data Modeler: $111,000 - $161,500 (3.9%)
- Data Scientist: $116,000 - $163,500 (6.4%)
- Business Intelligence Analyst: $118,000 - $171,750 (4.3%)
- Database Manager: $122,250 - $177,000 (3.7%)
- Data Warehouse Manager: $129,000 - $179,000 (4.1%)
- Data Architect: $131,250 - $184,000 (4.1%)
Article Takeaway
With enterprises having to handle Big Data in the quest of behavioral patterns of customers, advanced risk management, real-time marketing campaigns, etc. The demand for talent in big data solution companies is set to rise exponentially. As mentioned above, there is a huge gap between the demand and supply of skilled resources that are waiting to be bridged. Companies are willing to shell out exorbitant amounts for the best Big Data experts.
This is the right time to start adding complementary skills like R, Python, NoSQL, etc. that make the developers (you) experts in the Big Data tools and dashboards that form the core of actionable intelligence that will be procured from the incoming Big Data. If you do it right, you can command salaries that get you a whopping 250% raise from your current salary in regular IT!
