Android App DevelopmentBig Data Hadoop & SparkCareers

Give a Boost to Your Career and Get Out of Career Slump!

Like to raise your career to the next level? Or get out of an unproductive one? Who wouldn’t, right!

If you want to move up the corporate ladder, you need to plan a career that sustains demand for the skill and technology. What you are experiencing has been faced by many. If you find your career stagnating, it’s up to you to change it. When you’re not enjoying your role, then it’s high time to shift gears and head on to a rewarding career.

The good news is that we have come up with a long list of lucrative career options for professionals in various background:

Mobile Background:

This is a recommended career growth for App Developers and anyone who is passionate about mobile development.

Hadoop Background:

Professionals, who are already acquainted with Big Data technology like Hadoop, can further streamline their career by having knowledge and expertise in these fields.

  • Spark and Scala – For large-scale data processing
  • Data Science – For data analysis
  • Kafka – For handling real-time data
  • Storm – For real-time data processing

Web Design:

  • AngularJS – For building web application framework
  • Node.js – For developing server-side web applications.
  • HTML, JavaScript, CSS – Core skills necessary to get started with web designing
  • Joomla – Content management system for building professional Web sites
  • PHP & MySQL – The combination of a server-side scripting language designed for web development and relational database management system is vital to Web Developer
  • Ruby on Rails – A web framework for Web Developers, that’s optimized for programmer happiness and sustainable productivity

IT Administrative Background:

  • Hadoop Administration
  • Apache Cassandra –
  • MongoDB
  • Perl
  • Cyber Security
  • Penetration Testing
  • Web Security

The Hadoop Administration is best recommended for systems administrators, windows administrators, Linux administrators, Infrastructure engineers, DB Administrators, etc. Professionals related to administration, more specifically to databases can boost their career with MongoDB, Cassandra, and Perl.

Java Background:

  • Advanced Java
  • Spring Framework
  • Persistence with Hibernate

In general, Java Developers will benefit from learning Advanced Java and Spring Framework. Persistence with Hibernate will bring a huge career improvement to Java Programmers, Java Developers, Java Architects, or any professional associated with Java.

Analyst & Statistics Background:

Professionals from Statistic background have a huge number of option to choose from, right from data analysis to data visualization tools.

  • Spark and Scala – For large-scale data processing
  • R Programming – A software environment for statistical computing and graphics
  • Machine Learning
  • Data Science – For data analysis
  • DWH & BI – For Big Data analytics
  • Tableau – For Data visualization
  • Talend – For Big Data Integration
  • Qlikview – Business intelligence & visualization software
  • CRM Salesforce – For business analyst – Cloud Computing systems for customer relationship management
  • Predictive Modelling – Leverages statistics to predict outcomes.
  • Advanced Microsoft Excel
  • Pentaho – Data Integration and Business Analytics Platform
  • Mahout – For producing scalable machine learning algorithms focused primarily in the areas of collaborative filtering, clustering, and classification.

Data warehouse and Business Intelligence platforms like Pentaho is suggested for data modelers and professionals involved in Big Data Analytics. Similarly, in regards to Big Data, Tableau, Talend and Qlikview are recommended for professionals who needs to be adept at visualizing data. Business analyst can also benefit from CRM Salesforce

On the other hand, Data Science, Predictive Modelling, and Mahout are best for business analysts, data analyst, and statisticians.Android Programming

Developer Background:

  • Hadoop Developer – Testing, Java, Mainframe, Data Warehouse,
  • Devops – For Testing Professionals, Software Developers, and Architects

  • iOS with Swift – Software Developers
  • Apache Cassandra – Database Developer
  • CRM Salesforce – For Salesforce Developer
  • Qlikview – For Software Developers
  • MongoDB – For Software Developers
  • Joomla – For Web Developers
  • Apache Solr – For Software Developers
  • Perl – For Software developers, automation developers, ETL Developers
  • Pentaho – For BI developer
  • PHP & MySQL – For Web Developer

Professionals from Testing, Java, Mainframe and data warehouse background can switch their career to become a Hadoop Developer. Similarly, Software Developers can branch out into other domains and add more expertise to their resume by specializing in particular skills, like mobile app development, Qlikview, MongoDB, Joomla, Solr, Perl and PHP & MySQL.

Testing Background:

  • Python – Leverage the power of Python for processing Big Data
  • Devops – For Continuous software delivery and faster resolution of problems
  • Kafka – Testing professionals who are currently involved in Queuing and Messaging systems
  • AngularJS
  • Node.js
  • iOS with Swift –For Testing Professionals interested in iOS app testing
  • Qlikview – For Software Testers
  • Manual Testing – For Software Testing Engineers, Software Test Managers

Database Background:

  • Microsoft BI – Software or Analytics professionals having background/experience of any Relational databases, ETL, OLAP are the key beneficiaries

  • Apache Cassandra – Recommended for Database Developer and Administrator

  • MongoDB – For Database professionals involved in administration as well as development


  • Informatica
  • Python
  • DWH & BI
  • Microsoft BI
  • Talend
  • Teradata
  • Perl
  • Pentaho
  • Informatica
  • DWH & BI
  • Microsoft BI
  • Tableau
  • Talend
  • Qlikview
  • Predictive Modelling
  • Google Analytics
  • Perl

Predictive modelling, Perl, Google Analytics, DWH & BI are some of the sought-after skills by Analytics professionals. Professionals associated with Business Intelligence should equip themselves with tools like Microsoft BI, Pentaho, Informatica, Tableau, Talend, and Qlikview. Talend, Perl, Teradata is also highly recommended for data warehouse professionals.

Cloud Computing Background:

  • Cloud data security
  • IT Service Management
  • Vendor management
  • Enterprise Architecture

Project Management:

Project management is an area of endeavor involving a methodical approach to planning and guiding a project processes from start to finish. This encompasses numerous skills. Look in to your job profile and opt for suitable approaches.

Kafka is essential for Project Managers who are involved in projects of messaging systems, whereas Jenkins and iOS with Swift are recommended for Project Managers and Agile Managers respectively.

Digital Marketing:

  • Google Analytics – For marketing professionals, digital product managers, sales executives
  • Digital Marketing – for middle and senior digital managers
  • Email marketing – For content-related marketing
  • Search Engine Optimization
  • Social Media Marketing

Siebel/ CRM Background:

  • Salesforce


For established IT professionals, the technology job market will continue to get more competitive as new technologies and fresh talents continue to rise. This is why it is important to know the direction in which your career is heading and update yourselves with the necessary skills and knowledge, to have that competitive edge over others. IT field can offer a number of opportunities and areas to specialize in, without being bucketed into a particular domain. Whatever path you may choose, we are here to help you figure out the right path to take.

Need further clarifications? Feel free to mail us at [email protected] .You can also ask your questions in the comments section below. Keep visiting Our Website Acadgild for more updates on Big Data and other technologies.


Android Programming

Satyam Kumar

With more than 5 Years of experience, Satyam Kumar is a Subject Matter Expert in Big Data Solutions and has used his depth of experience to help bring new Big Data technologies to production. He has worked on several projects involving Hadoop, HDFS, MapReduce, Kafka, Flume, Hive and Spark.

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