Intern - Data Engineering

13 hours ago

Mumbai, Maharashtra, India Exponentia Datalabs Full time ₹ 9,00,000 - ₹ 12,00,000 per year

About the Role: Intern - Data Engineering

is launching the AI Talent Accelerator Program, a 612-month career accelerator designed for recent experienced graduates eager to build careers in Data Engineering, AI, and Cloud technologies.

This program combines structured training with real-world enterprise projects, offering hands-on exposure to Databricks, AI, and cloud ecosystems. Graduates who successfully complete the program will have the opportunity to transition into a full-time Data Engineer role at

Key Responsibilities

  • Design, build, and maintain data pipelines and ETL processes for enterprise projects.
  • Work with structured and unstructured datasets to enable AI and analytics solutions.
  • Collaborate with senior data engineers and mentors on real business use cases.
  • Optimize data workflows for quality, scalability, and performance.
  • Gain hands-on experience with platforms like Databricks, Azure, AWS and MS Fabric.
  • Support global clients in industries such as BFSI, CPG, and Manufacturing.

Roles & Responsibilities

Ideal Candidate Profile

  • Education:

  • Bachelor's or master's degree in computer science, IT, Data Science, Mathematics, or Statistics.

  • Recently graduated (within the last 12 months) from reputed institutions or top universities preferred.

  • Minimum 8.0 CGPA (or equivalent academic performance).

  • Technical Skills:

  • Strong proficiency in Python and SQL.

  • Knowledge of data structures, algorithms, and database systems.
  • Familiarity with cloud platforms, ML frameworks, or data visualization tools (preferred).

  • Strong analytical and problem-solving mindset.

  • Soft Skills:

  • High learning ability and adaptability.

  • Strong verbal and written communication skills.

  • Collaborative team player with ownership and accountability.

  • Commitment:

  • Willingness to commit internship for 6 months (training + internship).

  • Openness to transition into a full-time Data Engineer role post successful completion of internship.

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