{"id":54396,"date":"2026-09-08T12:28:21","date_gmt":"2026-09-08T06:58:21","guid":{"rendered":"https:\/\/www.foundit.in\/career-advice\/?p=54396"},"modified":"2026-09-08T12:28:28","modified_gmt":"2026-09-08T06:58:28","slug":"infosys-big-data-internship-apply","status":"publish","type":"post","link":"https:\/\/www.foundit.in\/career-advice\/infosys-big-data-internship-apply\/","title":{"rendered":"Infosys Big Data Internship 2026: How to Apply, Eligibility, Roles & Selection Process"},"content":{"rendered":"
\n

The Infosys Big Data Internship 2026<\/b> provides students with practical exposure to big data, data processing, analytics, and large-scale data systems.<\/p>\n

Interns can learn how data is collected, stored, processed, analysed, and used to support business decisions.<\/p>\n

Infosys Big Data Interns<\/b> can work with data engineers, data scientists, software developers, analysts, and technology teams.<\/p>\n

Depending on the project, they may assist with data pipelines, data processing, analytics, database systems, and data-driven applications.<\/p>\n

According to IDC, the global datasphere is expected to grow to 175 zettabytes by 2025, highlighting the growing volume of data generated and processed by organisations.<\/p>\n

This increasing data volume creates demand for professionals with skills in data engineering, analytics, and large-scale data processing.<\/p>\n

Interns can gain experience in Python, SQL, data processing, data visualisation, databases, and data pipelines.<\/p>\n

Some positions may also provide exposure to Hadoop, Spark, cloud data platforms, machine learning, and distributed computing.<\/p>\n

\n

About Infosys Big Data Internship<\/b><\/h2>\n

Infosys is a global technology services and consulting company that provides digital transformation and technology solutions to businesses worldwide.<\/p>\n

Its services include data and analytics, cloud computing, artificial intelligence, cybersecurity, software development, engineering, and consulting.<\/p>\n

Founded in 1981, Infosys has grown into a global organisation with more than 328,000 employees across 59 countries.<\/p>\n

It serves clients across industries through its technology, consulting, and delivery capabilities.<\/p>\n

For fiscal 2026, Infosys reported revenue of ?1,78,650 crore and a global employee strength of 3,28,594.<\/p>\n

These figures demonstrate the scale of its operations across technology and business services.<\/p>\n

Infosys has a strong presence in India, with offices and technology centres supporting its global delivery operations.<\/p>\n

Its data and analytics capabilities cover areas such as data management, analytics, AI, cloud data platforms, and business intelligence.<\/p>\n<\/div>

\n

Eligibility<\/h2>\n

Candidates applying for the Infosys Big Data Internship 2026<\/b> may need to meet requirements such as:<\/p>\n

    \n
  • Pursuing a bachelor’s, master’s, or PhD degree in Computer Science, Data Science, Information Technology, Mathematics, Statistics, or a related field.<\/li>\n
  • Understanding basic data structures and database concepts.<\/li>\n
  • Knowledge of Python, Java, Scala, or another relevant programming language.<\/li>\n
  • Familiarity with SQL and relational databases.<\/li>\n
  • Basic knowledge of data processing and data analysis.<\/li>\n
  • Understanding of statistics and basic probability.<\/li>\n
  • Familiarity with data cleaning and preparation.<\/li>\n
  • Knowledge of big data technologies such as Hadoop or Spark for relevant roles.<\/li>\n
  • Basic understanding of data pipelines and distributed computing.<\/li>\n
  • Familiarity with cloud-based data platforms can be useful.<\/li>\n
  • Knowledge of Git and version control.<\/li>\n
  • Strong analytical and problem-solving skills.<\/li>\n
  • Good written and verbal communication skills.<\/li>\n
  • Ability to collaborate with data and technology teams.<\/li>\n<\/ul>\n<\/div>
    \n

    Roles & Responsibilities<\/h2>\n

    A Big Data Intern at Infosys<\/b> may be responsible for:<\/p>\n

      \n
    • Supporting the development of data processing solutions.<\/li>\n
    • Collecting, cleaning, and preparing datasets for analysis.<\/li>\n
    • Writing SQL queries to extract and analyse data.<\/li>\n
    • Assisting with the development and testing of data pipelines.<\/li>\n
    • Processing large datasets using relevant tools and technologies.<\/li>\n
    • Supporting data integration from different sources.<\/li>\n
    • Performing exploratory data analysis to identify trends and patterns.<\/li>\n
    • Assisting with database and data warehouse activities.<\/li>\n
    • Working with data engineers and analysts on assigned projects.<\/li>\n
    • Supporting data quality checks and identifying data issues.<\/li>\n
    • Using programming languages to automate data-related tasks.<\/li>\n
    • Assisting with big data frameworks such as Hadoop or Spark where applicable.<\/li>\n
    • Supporting cloud-based data processing projects.<\/li>\n
    • Maintaining technical documentation for data projects.<\/li>\n
    • Preparing reports and presenting project findings.<\/li>\n
    • Helping technical teams improve data processing and analysis workflows.<\/li>\n<\/ul>\n<\/div>
      \n

      Application Process<\/h2>\n

      Candidates interested in the Infosys Big Data Internship 2026<\/b> can follow these steps:<\/p>\n

        \n
      1. Visit the official Infosys Careers website and search for Big Data internship opportunities.<\/li>\n
      2. Read the job description and check the required qualification, technical skills, location, duration, and eligibility requirements.<\/li>\n
      3. Prepare a role-specific resume highlighting your education, programming skills, SQL knowledge, data projects, and relevant experience.<\/li>\n
      4. Include projects involving data analysis, big data, databases, data pipelines, Hadoop, Spark, or cloud data platforms.<\/li>\n
      5. Add relevant certifications, GitHub projects, coursework, research work, or technical training.<\/li>\n
      6. Submit the application and provide the documents and information requested in the job posting.<\/li>\n
      7. Shortlisted candidates may be invited for technical assessments, coding tests, or interviews depending on the position.<\/li>\n
      8. Interviews can cover Python, SQL, databases, data structures, statistics, big data concepts, and project experience.<\/li>\n<\/ol>\n<\/div>
        \n

        Selection Process<\/h2>\n

        The Infosys Big Data Internship selection process<\/b> may include the following stages:<\/p>\n

          \n
        1. Application Screening:<\/b> The recruitment team reviews the candidate’s academic background, technical skills, projects, and overall profile.<\/li>\n
        2. Technical Assessment:<\/b> Candidates may be tested on programming, SQL, databases, data analysis, and big data concepts.<\/li>\n
        3. Technical Interviews:<\/b> Interviews can cover Python, SQL, data structures, databases, statistics, and big data technologies.<\/li>\n
        4. Project Discussion:<\/b> Candidates may discuss academic, personal, or research projects involving data and explain their methods and results.<\/li>\n
        5. Coding or Problem-Solving Round:<\/b> Candidates may solve programming, SQL, data-processing, or analytical problems.<\/li>\n
        6. Behavioural Interviews:<\/b> The interviewer may evaluate communication, teamwork, adaptability, and problem-solving abilities.<\/li>\n
        7. Final Selection:<\/b> Selected candidates receive an internship offer and complete the required onboarding process.<\/li>\n<\/ol>\n<\/div>
          \n

          Benefits & Perks<\/h2>\n

          Infosys Big Data<\/strong> Interns may receive:<\/p>\n

            \n
          • Internship compensation, depending on the role and location.<\/li>\n
          • Exposure to real-world data and analytics projects.<\/li>\n
          • Practical experience with data processing and analysis.<\/li>\n
          • Guidance from experienced data engineers and technology professionals.<\/li>\n
          • Experience working with SQL, databases, and data pipelines.<\/li>\n
          • Exposure to big data technologies and distributed computing.<\/li>\n
          • Opportunities to work with data scientists, engineers, and analysts.<\/li>\n
          • Experience with relevant programming languages and data tools.<\/li>\n
          • Opportunities to improve analytical and problem-solving skills.<\/li>\n
          • Professional development through project work and technical discussions.<\/li>\n
          • Exposure to a global technology and consulting environment.<\/li>\n<\/ul>\n<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"

            The Infosys Big Data Internship [current_year] provides students with practical exposure to big data, data processing, analytics, and large-scale data systems. Interns can learn how data is collected, stored, processed, analysed, and used to support business decisions.Infosys Big Data Interns can work with data engineers, data scientists, software developers, analysts, and technology teams. Depending on…<\/p>\n","protected":false},"author":1,"featured_media":54519,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[120],"tags":[],"class_list":["post-54396","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-internships-volunteering"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.foundit.in\/career-advice\/wp-json\/wp\/v2\/posts\/54396","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.foundit.in\/career-advice\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.foundit.in\/career-advice\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.foundit.in\/career-advice\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.foundit.in\/career-advice\/wp-json\/wp\/v2\/comments?post=54396"}],"version-history":[{"count":2,"href":"https:\/\/www.foundit.in\/career-advice\/wp-json\/wp\/v2\/posts\/54396\/revisions"}],"predecessor-version":[{"id":54520,"href":"https:\/\/www.foundit.in\/career-advice\/wp-json\/wp\/v2\/posts\/54396\/revisions\/54520"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.foundit.in\/career-advice\/wp-json\/wp\/v2\/media\/54519"}],"wp:attachment":[{"href":"https:\/\/www.foundit.in\/career-advice\/wp-json\/wp\/v2\/media?parent=54396"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.foundit.in\/career-advice\/wp-json\/wp\/v2\/categories?post=54396"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.foundit.in\/career-advice\/wp-json\/wp\/v2\/tags?post=54396"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}