7 Big Data Roles for Aspiring Professionals

Are you an aspiring Big Data professional? If yes, chances are you might be confused about the various job roles that are thrown around on the web – Architect, Engineer Scientist, etc. Of course, each role is prefixed with the quintessential—Big Data to add the heavy weight to the role.

For the uninitiated, Big Data careers can be elusive.To simplify, this post dissects the various roles pertaining to Big Data and tells you exactly what you need to know. If you want to enter into a Big Data career, here are various roles you need to know about.

Prominent roles in the industry

Data Roles for Aspiring Professionals

Big Data Analyst: This an entry-level role in Big Data. These professionals are required to have solid understanding for programming languages – R, Python, SAS and be well-versed with data analysis.

They collect large amount of data and find patterns. To be a good data analyst, you must love data.

  1. Data Visualization Specialist – Data visualization is becoming critical for organizations to make decisions related to other Big Data investments and business processes. Turning data into decision-enabling information is super critical for companies. Businesses are increasingly building in-house capacities to benefit from the skills of Data Visualization Specialist. To be proficient at data visualization, you need to know tools including D3, Spotfire, D3, Carto, Tableau, among others.
  2. Big Data Architect – This professional specializes in working with large scale databases and designing information flow throughout an organization. They require extensive knowledge of Big Data tools – Hadoop, Hive, Kafka, Mongo DB, Cassandra, etc. Data mining and warehousing is a small, but extremely significant portion of the skills required to be a Big Data Architect.
  3. Data Scientists – These are multi-disciplinarian professionals, requiring an extensive set of skills. These are perhaps the most sought-after data professionals around the world. Data Scientists gather and analyze data, which helps businesses in making business-related decisions.  According to a Deloitte’s reports, the industry would need 3 million Data Scientists by 2021 globally. To become a Data Scientist, you will need to know – programming, statistics, machine learning, etc.
  4. Data Engineers – These professionals are responsible for building, scaling, and maintaining data infrastructure. They ensure that data requirements are met as and when required by business stakeholders including Analysts, Data Scientists, managers etc.  Overall, they are responsible for ensuring that data is available to all stakeholders promptly. Data ware housing is an essential skill for Data Engineers. Additionally, working-knowledge of Hadoop, Hive, Pig, and other Big Data tools and technologies is mandatory for this role.
  5. AI (Artificial Intelligence) Developer–  Even though studied separately, artificial intelligence is an extended part of Big Data. Working in artificial intelligence requires working with Big Data and specialized knowledge. AI Developer is becoming a prominent among other Big Data roles. These professionals implement machine learning, deep learning, etc. to business environment. To do so, they require working knowledge of Lisp, Python, Prolog, C/C++, Java, etc.
  6. IT/ Operations Managers – This not a specialist role. However, an extension of your Big Data team. This professional works with business stake holders and manages hardware requirements and maintenance. Knowledge ofnetworking is essential to do well in this role. Prior experience with setting information framework across a company is mandatory to do well in this role.

Industry is maturing

Big Data industry is maturing and opening opportunities for aspirants. However, education related to the field is still nascent, resulting in shortage of professionals.

Universities and colleges are coming up with year-long programs to meet the demand for Big Data professionals. Additionally, online courses and Big Data certifications are increasing to cater to the on-demand learning of professionals.

What this means is — the demand for Big Data professionals is burgeoning, indeed. Good salary and other perks are given. But unlike yesteryear, the industry is looking for professional who can make an impact with their Big Data skills.

The industry has grown out of hire-and-test trends, and slowly moving toward hiring professionals with proven experience.

Big Data industry is not reliant on people who come with knowledge, instead the industry prefers who demonstrate working-knowledge. So choose one Big Data career path and excel in it.

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