Intern - Data Engineering
11 hours ago
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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