2 Jan 2019

What Are the Job Opportunities in Big Data?

Data is an essential fabric of business intelligence. Data miners, almost every day, extract hundreds of data sets from 2.5 quintillion bytes of data. The IoT is responsible for its eruption in such a massive amount. Hats should be off to the data scientists and architects who hold it with expertise. Not only do they hold, but they also spot unique solutions through data analytics after mining.

It may sound that big data analytics jobs are a walkover. But, they are actually difficult. They are commendable jobs big data jobs where groundbreaking decisions depend upon. This is why the typical structure of the private as well as the government is meeting a turnaround time. Even, this sector invites candidates who, being data analysts or scientists, are capable of making discoveries in the government jobs. If you consider India, for example, there are hundreds of jobs in the government sector for freshers and grads for data researchers and scientists. To stimulate this effort, its prime minister has geared up subscribing data entry jobs through its official website.

If you talk about the salary package, it can raise your brows. Look at the salary packages of a data scientist in India and the USA. It’s indeed tempting to make career in this domain. 
A survey of McKinsey Global Institute states that the US is going to be short of nearly 190,000 professionals with analytical lens. You might have understood why you should be interested in data analytics as a career. Of course, there is a big scope for big data engineers, scientists and analysts.
You can also spot the career opportunities in data science and become one of the decision makers. What skills you should possess, here is its rundown according to designations or job roles:
  1. Data Architect:
Job Description:
  • Develop framework for storing, retrieving and managing data (of any size) under database solutions.
  • Install and configure information systems to merge functionality.
  • Plan, assess and analyse structural requirements for feeding software and applications.
  • Blueprinting conceptual and logical models of data in a visualized format.
  • Improvise existing system’s performance by debugging, troubleshooting and integrating new models & macros.
  • Optimize existing and new databases.
  • Ensure security, backups and reporting of data.
  • Collate with data scientists and executives to foresee future needs and requirements.
  • Dexter in operational support for Management Information System (MIS).
  • Take training sessions about the new models.
  • Monitor performance and debugging errors consistently.

What qualification should you have to become a data architect?
  • Bachelor’s degree in computer science, computer engineering or relevant field
  • Experience in similar domain
  • Well versed with data structure systems, data mining and segmentation techniques
  • Excellent managerial, organizational and analytical capacities
  • Expertise in SQL and Oracle
  • Proficient with MS Excel, data visualization tools & techniques
  1. Data Analyst:
Job Description:
  • Extract data from primary and secondary sources
  • Sort and cleanse for mining the data.
  • Interpret that data.
  • Analyse results.
  • Prepare reports to feedback the reviews.
  • Pull underlying patterns and identify trends hidden in them.
  • Cooperate with related teams for managing and settling issues.
  • Train staff to help in assimilating data.
  • Identifying opportunities through analysis.
  • Define & implement the entire analysis process.
What qualification should you have to become a data architect?
  • Experience in data analysis
  • Technical expertise over data models, database design development, data mining and segmentation.
  • Adept in reporting and deriving knowledge out of reporting packages, like SQL, programming like XML, JavaScript or ETL frameworks.
  • Sound knowledge of statistics and how to use it for analysis.
  • Presence of analytical skills with the ability of collecting, organizing, analyzing and disseminating vital information while keeping intricacies and accuracy in mind.
  • Sc in Mathematics, Economics, Computer Science, Information Management and Statistics
  1. Database Administrator:
Job Description:
  • Assess and evaluate the requirement of users
  • Maintain back-end organisation of data while keeping front-end data accessible for users.
  • Monitor performance, organise and manage organizational data.
  • Quality management and upkeep of the fact that database performance meets organizational requirements.
  • Install and seamless on-going of production through software and hardware, ensuring storage, accessibility and utilization of the vital information.
  • Ensure security by defining authenticity and accessibility of data.
  • Maintain consistency of data.
  • Define and control access permissions.
  • Develop, manage and debug back-ups.
  • Work closely with IT teams, database programmers and multimedia team.
  • Manage disaster recovery
What qualification should you have to become a data architect?
  • A bachelor’s degree in database administration, computer science, computer information systems, information technology, or a related field.
  • An MBAwith a concentration in database management, computer information systems, or management information systems
  • Specialization and certifications in popular database management systems, such as Microsoft SQL Server, Sybase, Oracle, MySQL, and IBM DB2
  1. Business Intelligence Developer
Job Description:
  • Translate business needs into technical specifications
  • Build, install and design BI solutions through reporting tools.
  • Maintain data and support data analytics platforms.
  • Create data mining tools, like OLAP, for storing data.
  • Conduct debugging.
  • Collaborate with data mining team, programming team and solution administrator.
  • Develop and run database queries pre and post analysis.
  • Visualise data and reports in a comprehensive format.
  • Develop and update technical doc regularly.
What qualification should you have to become a data architect?
  • A bachelor’s degree in information technology, information systems, or computer science.
  • A degree in business, such as a bachelor’s in business administrationor business intelligence (preferable)
  • Well-versed with data warehouse design and data mining.
  • Adaptability with database management systems, On-Line Analytical Processing (OLAP) and Extract Transform and Load (ETL) framework
  • Knowledge of SQL queries, SQL Server Reporting Services and SQL Server Integration Services (SSRS)
  • Familiar with BI technologies
  • Analytical mind with problem-solving approach
  1. Data Scientist:
Job Description:
  • Determine valuable data sources
  • Prepare architecture for structured and unstructured data.
  • Perform data patterns and trends.
  • Build machine-learning algorithms.
  • Undertake automatic data collection, processing, pre-processing and analysis.
  • Model issue administering frameworks.
  • Visualize data in an understandable layout.
  • Collaborate with engineers and product development patterns.
What qualification should you have to become a data architect?
  • A bachelor’s degree in information technology, information systems, or computer science.
  • A degree in business, such as a bachelor’s in business administrationor business intelligence (preferable)
  • Knowledge of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • Sound understanding of data mining techniques and tools, like Python, R
  • Experience with common data science toolkits as per specific project requirements.
  • Adept in using data visualisation tools, such as D3.js, GGplot, etc.
  • Proficiency in using query languages such as SQL, Hive.
  • Experience with NoSQL databases, such as MongoDB, Cassandra, HBase 
  • Possess good statistics skills, such as distributions, statistical testing, regression, etc.
  • Good scripting and programming skills
  • Data-oriented personality

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