{"id":5763,"date":"2026-07-09T14:00:00","date_gmt":"2026-07-09T08:30:00","guid":{"rendered":"https:\/\/www.coursevidya.com\/blog\/?p=5763"},"modified":"2026-07-09T13:54:12","modified_gmt":"2026-07-09T08:24:12","slug":"big-data-career-path-freshers","status":"publish","type":"post","link":"https:\/\/www.coursevidya.com\/blog\/big-data-career-path-freshers\/","title":{"rendered":"How to become a Big Data Engineer: A complete guide to the Big Data career path for freshers"},"content":{"rendered":"
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Many students search for how to become a Big Data Engineer because the demand for skilled Big Data professionals continues to grow.<\/p>\n\n\n\n

If you’re among them and actively looking for an extensive guide to the Big Data career path for freshers, then you are at the right place. You need to build the skills, earn certifications, and understand the Big Data job roles you should target.<\/p>\n\n\n\n

This guide explains how to become a Big Data Engineer, covering everything you need to know about the Big Data career path before applying for entry-level jobs.<\/p>\n\n\n\n

Big Data job market<\/h2>\n\n\n\n

Around 2021, the entry-level job titles in the Big Data<\/a> industry were Junior Data Analyst, Hadoop Developer, or Associate Data Engineer. Freshers were expected to do manual data cleaning, write basic SQL queries, and draft script documentation. The average Big Data Engineer salary for freshers in India was around \u20b93.5 \u2013 \u20b97.0 LPA.<\/p>\n\n\n\n

The repetitive tasks that entry-level Big Data Engineers once handled are now handled by AI<\/a> co-pilots. With the popularity of AI tools and automation, there is a massive shift in what companies are looking for in entry-level Big Data Engineers nowadays. Freshers are now hired as Associate Data Engineers, Cloud Data Engineers, or ML Data Engineers (Machine Learning Data Engineers).<\/p>\n\n\n\n

Now, the freshers are expected to understand cloud platforms (AWS, Azure, GCP) and know how to feed clean data into data pipelines that directly power large language models (LLMs) and MLOps frameworks. In recent years, the average Big Data Engineer salary for freshers in India has ranged from \u20b94.0 to \u20b910.0 LPA.<\/p>\n\n\n\n

Job roles (Before)<\/th>Average salary in India<\/th>Job roles (Now)<\/th>Average salary in India<\/th><\/tr><\/thead>
Junior ETL Developer<\/td>\u20b93.5 – \u20b95.5 LPA<\/td>Associate Data Engineer<\/td>\u20b94.5 – \u20b97.5 LPA<\/td><\/tr>
Hadoop Developer<\/td>\u20b93.5 – \u20b96.0 LPA<\/td>Cloud Data Engineer (AWS\/Azure)<\/td>\u20b95.0 – \u20b99.0 LPA<\/td><\/tr>
Junior Data Warehouse Analyst<\/td>\u20b93.0 – \u20b95.0 LPA<\/td>Data Pipeline Engineer<\/td>\u20b94.5 – \u20b98.0 LPA<\/td><\/tr>
Data Infrastructure Assistant<\/td>\u20b93.5 – \u20b95.5 LPA<\/td>ML Data Operations Engineer<\/td>\u20b95.5 – \u20b910.0 LPA<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Big Data career path mapping<\/h2>\n\n\n\n

If you’re wondering how to become a Big Data Engineer, the first step is to explore the Big Data career path and growth opportunities. Understanding the Big Data career path helps freshers make the right decisions about advancing their careers.<\/p>\n\n\n\n

Entry-level: 0\u20132 years of experience<\/h3>\n\n\n\n

Job roles:<\/strong><\/p>\n\n\n\n

    \n
  • Associate Data Engineer: \u20b94.5 – \u20b97.5 LPA<\/li>\n\n\n\n
  • Big Data Analyst (Junior): \u20b94.0 – \u20b96.5 LPA<\/li>\n\n\n\n
  • ETL Developer \/ Data Pipeline Assistant: \u20b94.5 – \u20b97.0 LPA<\/li>\n\n\n\n
  • Junior BI Engineer: \u20b94.0 – \u20b96.0 LPA<\/li>\n<\/ul>\n\n\n\n

    Mid-level: 3\u20136 years of experience<\/h3>\n\n\n\n

    Job roles:<\/strong><\/p>\n\n\n\n

      \n
    • Big Data Engineer: \u20b98.0 – \u20b915.0 LPA<\/li>\n\n\n\n
    • Senior Data Engineer: \u20b912.0 – \u20b922.0 LPA<\/li>\n\n\n\n
    • Cloud Data Architect (Junior): \u20b910.0 – \u20b918.0 LPA<\/li>\n\n\n\n
    • MLOps Data Engineer: \u20b911.0 – \u20b920.0 LPA<\/li>\n<\/ul>\n\n\n\n

      Senior level: 7\u201310 years of experience<\/h3>\n\n\n\n

      Job roles:<\/strong><\/p>\n\n\n\n

        \n
      • Lead Big Data Engineer: \u20b920.0 – \u20b935.0 LPA<\/li>\n\n\n\n
      • Principal Data Engineer: \u20b925.0 – \u20b945.0 LPA<\/li>\n\n\n\n
      • Big Data Architect: \u20b924.0 – \u20b942.0 LPA<\/li>\n\n\n\n
      • Data Engineering Manager: \u20b926.0 – \u20b940.0 LPA<\/li>\n<\/ul>\n\n\n\n

        Executive level: 10+ years of experience<\/h3>\n\n\n\n

        Job roles:<\/strong><\/p>\n\n\n\n

          \n
        • Chief Data Architect: \u20b945.0 – \u20b975.0 LPA<\/li>\n\n\n\n
        • Director of Data Engineering: \u20b955.0 – \u20b990.0 LPA<\/li>\n\n\n\n
        • VP of Data Analytics & Engineering: \u20b965.0 – \u20b91.2 Crore PA<\/li>\n\n\n\n
        • Chief Data Officer (CDO): \u20b980.0 – \u20b91.5+ Crore PA<\/li>\n<\/ul>\n\n\n\n

          Is Big Data a good career option in India and globally?<\/h2>\n\n\n\n