4 Hot Big Data Analytics Roles in IT Industry
Big data is the IT industry’s new buzzword. Industries have been talking about how insights from big data analytics can give them a competitive edge. Some front-runners have been implementing big data while others are running PoCs (Proof of Concepts) to understand the business impact.
This possibility of how analytics can transform a business has been driving IT companies to build a strong big data analytics portfolio that has something for every business user. This in turn has led to the creation of specific big data analytics roles within IT product companies and IT consulting firms.
TimesJobs data shows that companies such as Wipro, Deloitte Touche Tohmatsu, HP, Fractal Analytics, Symphony Teleca and Honeywell seem to be moving away from the loose term of data scientist -billed as the hottest tech job role of the 21st century – and breaking it down into specific job roles.
Following are four big data-linked tech job roles that are most in demand in the Indian IT industry, based on TimesJobs.com data:
1) Big Data Test Engineers
Role: Involves working closely with the design team todevelop test cases and perform manual testing for big data technologies.
Knowledge of automation of test suite using Python/Java to ensure faster and efficient test cycles for every release
Strong working knowledge of distributed systems technologies, web-based technologies, app servers, application and database performance tuning approaches and tools
Working knowledge on Hadoop, Hive, Flume, Java/J2EE, XML, SOAP and web services. Prior development experience would be a plus
2) Big Data Developers
Role: A programmer with proven skills in writing high-quality, highly optimised, high performance and maintainable codes for big data solutions.
Knowledge of Hadoop apps and skilled in MapReduce programming
Knowledge of how to effectively integrate apps with concepts such as data base technologies, data warehousing, data analytics, business intelligence and warehouse development
Nimbleness in scheduling and monitoring jobs and taking decisive actions to mitigate process errors during software development
3) Big Data Technology Leads
Role: Requires understanding of different industries, the kind of data generated, their big data analytics requirements, types of algorithms that need to be run and the ability to recommend optimal solutions.
Industry experience coupled with tech know-how that equips the person to build the big data vision of the IT solution provider
Hands-on experience with building quick prototypes/proof of concepts for big data solutions
Out-of-the-box thinking to conceptualise never-thought-of analytics solutions for specific business needs of different industries
4) Predictive Analytics Consultants
Role: It is an in-demand role in IT consulting companies. The role demands big data specialists whose core strength is leveraging analytics tools for specific business decision-making contexts where he/she will be preparing, analysing and culling out insights in an efficient and errorless manner using statistical, machine learning and optimisation techniques.
Business acumen coupled with technology know-how that enables him/her to execute the required analytics programming with minimal supervision for different clients
Knowledge of complex querying, data mining and model algorithms
Ability to manage data audit steps in order to ensure data quality, data extraction methodology, logic and design of data cleaning, exploratory data analysis and statistical methods source
Subscribe to our Newsletter
Get The Free Collection of 60+ Big Data & Data Science Cheat Sheets. Stay up-to-date with the latest Big Data news.