Top Big Data Jobs for Data Professionals in India in 2021

Top Big Data Jobs for Data Professionals in India in 2021
Published on

These Top Big data jobs might become the key to a successful Big data career.

The global Big data industry is witnessing a significant rise in demand for skilled professionals for data analytics. Currently, pursuing a career in Big data is a smart choice for those who love the field of data analysis. The knack for understanding and using data analytics for decision-making is the new trend in industries. This article presents the top Big data jobs in India for trained data professionals aspiring to have a successful career in data analysis.

• Big Data Engineer

Big data engineers are responsible for working with large volumes of data to provide insights for decisions within an organization. They retrieve, analyze, interpret, and make reports on business data, which is gathered from different sources. They also develop and maintain the organization's software and hardware architectures. To get hired, the candidates need to have two to three years of experience in this domain and detailed knowledge about the different programming languages and database designs.

• Big Data Architect

Data architects are concerned with designing data frameworks. They create blueprints for creating, testing, and maintaining complex database systems. They are also responsible for developing strategies for different areas of the enterprise data model and communicating the plans for progress and other issues to company executives. Recruiters prefer candidates who are adept in data-oriented programming languages and show advanced proficiency in SQL and XML.

• Database Administrator

Since high traffic and constant access to the database can affect the performance of the software, database administrators have a crucial role in administering and optimizing the databases; in coordination with the IT team to ensure data security. The candidates interested in this job role need to have exposure to working with database administration teams.

• Data Scientist

Data scientists are involved in data modeling, data mining, and production. It is one of the highest-paying jobs in the field of Big data. Data scientists are tasked with conducting data studies and experiments, developing prototypes, algorithms, and performing custom analyses. The candidate must have detailed knowledge about clustering, regression, decision trees, and other techniques. This role is quite dynamic, including collaboration with the IT team to create statistical models and interpret complex information for businesses.

• Analytics Manager

Analytics managers are responsible for coordinating analytics tasks for the corporation, which includes creating effective strategies to collect data, analyze information, conduct research, and implement analytics solutions for the products and services. They are also responsible for providing end-user reports with quality information and caveats, structure, management, and extraction of data from different applications and apply statistical knowledge and data modeling to provide the latest, high-quality information.

• Big Data Consultant

A Big data consultant is responsible for identifying and defining business problems. They work with tables containing millions of observations and data points to find out the solutions to complex business problems and implement them. The consultants should be able to lead teams and projects while ensuring quality and on-time delivery according to specifications.

• Database Developer

Database developers analyze database performances to understand the scope of modernization and develop new databases if required. They eliminate inefficient Big data coding and troubleshoot any issues that may further arise. They are a crucial part of the development teams. The candidates must have prior experience in database development, analytics, and unit testing, to improve the chances of being hired.

Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

                                                                                                       _____________                                             

Disclaimer: Analytics Insight does not provide financial advice or guidance. Also note that the cryptocurrencies mentioned/listed on the website could potentially be scams, i.e. designed to induce you to invest financial resources that may be lost forever and not be recoverable once investments are made. You are responsible for conducting your own research (DYOR) before making any investments. Read more here.

Related Stories

No stories found.
logo
Analytics Insight
www.analyticsinsight.net