Companies in most economic sectors are starting to recognize the importance of data. So they are collecting, organizing, storing, and interpreting huge chunks of operational data. In a recent survey, NewVantage Partners found that nearly 92% of the participating executives admitted to having definitive plans to invest in more in big data to transform their business into a more agile and competitive one. This is great news for prospective candidates who are looking for a full-time gig within the spectrum of big data. Let’s go over a few, big data jobs that are the most popular in the industry right now:

Data Scientist– One Of The Fastest Growing Big Data Jobs

According to PayScale, there are ample opportunities for skilled and capable data scientists. Their role is to mine and comprehending complex data for big companies, especially multinationals. They create and manage different frameworks of statistical data that help deduce systems-related action plans and recommendations for cross-functional IT teams. 

big data jobs- data scientist

Preferred Qualifications

IT data scientists should have exceptional knowledge of various data mining techniques. These include but are not limited to, clustering, support vector machines, regression analysis, and decision trees. Besides prior experience in a similar field, you’d ideally need a Master’s or PhD in Computer Science (CS) for this kind of position. Read all about the role of a data scientist here.

Data Engineers

Data engineers leverage their expertise in CS and engineering to collect, assess, and manage large data sets. Common responsibilities include:

  • Improving data accessibility by developing technical processes
  • Designing dashboards, reports, and tools for end-user
  • Creating and translating complex algorithms into prototype code. 

Preferred Qualifications

Employers usually look for candidates with a degree in engineering, CS, or a similar field. They also prefer three to five years of prior experience in the field. Technical proficiencies include proficiency in SQL database design and Linux systems and in at least one of the coding languages such as Python, Storm, Java, Kafka, or Hive. Additionally, exceptional written and verbal communication skills are a must. You should also be comfortable working both independently or with like-minded team members. 

Data Analyst

A data analyst designs and implements large-scale surveys by gathering actionable information about a variety of topics. Their primary role includes the following tasks

  • Recruiting survey participants
  • Compiling and interpreting the submitted data
  • Relaying their findings using traditional reports, charts, and other digital formats.
big data jobs- data analyst

Preferred Qualifications

Most data analyst job profiles require candidates to be proficient in computer programs such as SharePoint, Microsoft Access, Microsoft Excel, and SQL databases. You should also have good communication (written/spoken) and presentation skills. Along with that, the intelligence to adequately translate often-complex information into layman terms for company stakeholders.

Security Engineer

Security engineers play an important part in IT risk analysis, aversion, and mitigation. They are responsible for:

  • Reducing corporate risk exposure by installing computer firewalls
  • Identifying and reacting to intrusions
  • Forensically categorizing systems security issues
  • Designing and executing test plans for any new/updated software and hardware
  • Building a multi-layered defence system for computer networks.

Interested in becoming a security engineer? Here’s all you need to know about the role.

Preferred Qualifications

An undergraduate degree in CS, engineering, computer science, or a relevant field is required for this job profile, along with a few years of prior work experience in the field and industry-standard security certifications. Apart from the technical expertise in operating systems and one or more in-demand computer languages, security engineers are also expected to have solid mathematical and problem-solving skills with the capacity to work independently.

security engineer

Database Manager

Database managers are trained and extremely skilled in performing diagnostics and repairing sophisticated databases, apart from multitasking and project management. They are also responsible for analyzing business requests for data and/or data usage, assessing the data sources to enhance data feeds and designing and installing storage hardware.

Preferred Qualifications

Most job profiles for database managers mention an undergraduate degree in IT and at least 5 years of prior experience in a database leadership position as preferred skills/qualifications. Candidates should also be familiar with the different database software such as Oracle and MySQL.

Data Architects

Data architects apply their knowledge of data-driven computer languages to build and manage data in corporate repositories and relational databases by outlining data architecture plans for specific subject areas of the enterprise data model. 

Preferred Qualifications

The most sought-after job skills (and “keyword attributes“) that companies look for in a data architect include high-level technical proficiency (especially in languages like XML and SQL), sharp analytical acumen, problem-solving mindset, and strong creative visualization, and attention-to-detail. Most data architects in the industry have an undergraduate (and, often, an advanced) degree in a CS-related field.

data management

Technical Recruiter

Technical recruiters are expected to source and screen talented IT, big data and IT professionals from a large candidate pool. They usually work closely with companies to gauge their hiring requirements, and then comb through the market to find the strongest candidates for the job openings available. They also guide the professional candidates through the recruitment and onboarding process.

Preferred Qualifications

Technical recruiters are familiar with industry-jargon and have in-depth knowledge about the technical qualifications that the employers look for in prospective candidates. Having “people skills” is also crucial, considering that successful technical recruiters are known for building a positive rapport with every candidate they bring in for an interview.

In The End

Given the rapid evolution of big data applications, the demand for employees for these big data jobs has grown exponentially in the last few years. LinkedIn, for example, also highlighted the nation-wide (and city-wide) shortage of data science workers nationally in a 2018 Workforce Report. “Nationally, we have a shortage of 151,717 people with data science skills,” they said, “….with particularly acute shortages in New York City (34,032 people), the San Francisco Bay Area (31,798 people), and Los Angeles (12,251 people).”

So if data, numbers, statistics intrigue you as a programmer, now would be a great time to build a career in the field. And to find big data opportunities around you, try Workship.

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