Intern - Data Engineering

About the Role:

AI Talent Accelerator Program

Databricks, AI, and cloud ecosystems

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.