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Off Campus Drive Exponentia.ai for Intern - Data Engineering | Mumbai | Apply Now | Placement Officer
Summary
Exponentia.ai is launching an AI
Talent Accelerator Program for recent graduates seeking careers in Data
Engineering, AI, and Cloud technologies. This 6-12 month internship in Mumbai
combines structured training with real enterprise projects using Databricks, AI,
and cloud platforms. The program requires a minimum 8.0 CGPA and strong
proficiency in Python and SQL, with successful interns transitioning to
full-time Data Engineer roles. Ideal for graduates from computer science, IT,
or data science backgrounds who are eager to work with global clients in BFSI,
CPG, and manufacturing industries.
Detailed Job Description
Position Overview
Role: Intern
- Data Engineering
Company: Exponentia.ai
Program: AI Talent Accelerator Program
Location: Mumbai, Maharashtra
Duration: 6-12 months (Training + Internship)
Conversion: Full-time Data Engineer role upon successful completion
Education: BE/Bachelor's or Master's in CS, IT, Data Science,
Mathematics, Statistics
Program Vision
A comprehensive career accelerator
designed to build next-generation data engineering talent through hands-on
enterprise projects and structured learning in AI and cloud technologies.
Key Responsibilities
Data Engineering & Development
- Design,
build, and maintain data pipelines and ETL processes for enterprise
projects
- Work
with both structured and unstructured datasets to enable AI and analytics
solutions
- Optimize
data workflows for quality, scalability, and performance
- Gain
hands-on experience with Databricks, Azure, AWS, and MS Fabric platforms
Collaboration & Client Engagement
- Collaborate
with senior data engineers and mentors on real business use cases
- Support
global clients across BFSI, CPG, and Manufacturing industries
- Work
in cross-functional teams to deliver data solutions
- Participate
in client requirements analysis and solution design
Learning & Skill Development
- Complete
structured training in data engineering concepts and tools
- Develop
expertise in cloud data platforms and AI integration
- Learn
enterprise-grade data engineering best practices
- Build
portfolio of real-world data engineering projects
Essential Skills & Qualifications
Educational Requirements
- Degree: Bachelor's
or Master's in Computer Science, IT, Data Science, Mathematics, or
Statistics
- Graduation: Recently
graduated within last 12 months
- Institution
Preference: Reputed institutions or top
universities
- Academic
Performance: Minimum 8.0 CGPA or
equivalent
Technical Skills
- Programming: Strong
proficiency in Python and SQL
- Fundamentals: Knowledge
of data structures, algorithms, and database systems
- Cloud
Platforms: Familiarity with cloud
platforms (preferred)
- Tools: Experience
with ML frameworks or data visualization tools (advantageous)
Professional Competencies
- Analytical
Skills: Strong problem-solving and
analytical mindset
- Learning
Agility: High adaptability and quick
learning capability
- Communication: Excellent
verbal and written communication skills
- Teamwork: Collaborative
approach with ownership and accountability
Commitment Requirements
- Willingness
to commit to 6-month internship (training + internship)
- Openness
to transition into full-time Data Engineer role post-internship
- Dedication
to complete structured training program
- Availability
for potential client project requirements
Pro Tips for Successful Application
1. Academic Preparation
- Ensure
minimum 8.0 CGPA requirement is met
- Highlight
relevant coursework in data engineering and computer science
- Showcase
academic projects involving Python, SQL, and data processing
- Prepare
academic transcripts and degree certificates
2. Technical Skill Demonstration
- Build
Python projects demonstrating ETL pipeline development
- Create
SQL portfolio with complex queries and database design
- Practice
data structure and algorithm problems
- Learn
basics of Databricks or cloud platforms through free tiers
3. Portfolio Development
- Develop
end-to-end data pipeline projects
- Include
projects with both structured and unstructured data
- Demonstrate
problem-solving with real datasets
- Showcase
any previous internship or project experience
4. Company & Industry Research
- Research Exponentia.ai's client
industries (BFSI, CPG, Manufacturing)
- Understand
data engineering challenges in these sectors
- Learn
about Databricks and cloud data platforms
- Align
with company's focus on enterprise AI solutions
FAQs
Q: What is the exact duration of the
program?
A: 6-12 months combining structured
training with internship components.
Q: Is the full-time conversion
guaranteed?
A: Conversion to full-time Data Engineer
role is offered upon successful completion of the program.
Q: Are students from non-computer
science backgrounds eligible?
A: Yes, degrees in Mathematics,
Statistics, IT, or Data Science are also acceptable.
Q: What is the selection process?
A: Likely includes resume screening,
technical assessments, and interviews focusing on Python, SQL, and
problem-solving.
Q: Is relocation to Mumbai required?
A: Yes, the position is based in Mumbai
and requires on-site participation.
Q: What makes this program different
from other internships?
A: Structured accelerator program with
guaranteed full-time conversion and enterprise project exposure.
Why Join Exponentia.ai?
Career Acceleration
- Structured
path from intern to full-time Data Engineer
- Comprehensive
training in cutting-edge technologies
- Real
enterprise project experience
- Global
client exposure across multiple industries
Technology Exposure
- Hands-on
experience with Databricks and cloud platforms
- Work
on AI and analytics solutions
- Learn
enterprise-grade data engineering practices
- Exposure
to latest data and AI technologies
Professional Growth
- Mentorship
from industry leaders and senior engineers
- Access
to certifications and tech events
- Partner-led
innovation lab experiences
- Inclusive
culture valuing learning and initiative
Global Presence
- High-growth
firm operating across US, UK, UAE, India, Singapore
- Diverse
workplace with global perspectives
- Opportunities
for international exposure
- Multicultural
team collaboration
About the AI Talent Accelerator Program
Program Structure
- Combination
of structured training and hands-on projects
- 6-12
month comprehensive learning journey
- Mentorship
from experienced data engineers
- Real
business use cases and client projects
Technology Stack
- Data
Platforms: Databricks, MS Fabric
- Cloud: Azure,
AWS ecosystems
- Programming: Python,
SQL
- Tools: ML
frameworks, data visualization tools
Industry Focus
- BFSI: Banking,
Financial Services, Insurance
- CPG: Consumer
Packaged Goods
- Manufacturing: Industrial
data solutions
- Cross-industry
AI applications
Application Strategy
Key Differentiators
- Demonstrate
strong Python and SQL capabilities
- Show
academic excellence (8.0+ CGPA)
- Highlight
problem-solving and analytical skills
- Emphasize
learning agility and adaptability
Preparation Timeline
- Technical
Foundation: Strengthen Python, SQL, and
data engineering concepts
- Project
Development: Build portfolio projects
demonstrating data pipeline skills
- Company
Research: Understand Exponentia.ai's business
and technology focus
- Interview
Preparation: Technical and behavioral
interview practice
Conclusion
The Data Engineering Intern position
through Exponentia.ai's AI Talent Accelerator Program offers an
exceptional launchpad for recent graduates aspiring to build careers in data
engineering and AI. The structured program combining training with real
enterprise projects, guaranteed full-time conversion, and exposure to
cutting-edge technologies like Databricks makes this a premier opportunity in
the data engineering space. The Mumbai location and global client exposure
provide comprehensive professional development.
Ideal candidates should demonstrate
strong technical fundamentals, academic excellence, and genuine passion for
data engineering and AI technologies. The program's focus on real business use
cases and client projects ensures practical skill development that directly
translates to career advancement.
Application Tip: Focus
on showcasing practical Python and SQL skills through projects, emphasize your
academic achievements, and demonstrate how your problem-solving abilities align
with enterprise data engineering challenges. Highlight any experience with data
pipelines or analytics projects.
Exponentia.ai provides a unique
accelerator program that transforms recent graduates into industry-ready data
engineers through immersive learning, real project experience, and a clear path
to professional success in the rapidly evolving AI and data landscape.
🔗 Apply Link: Click
Here To Apply for Exponentia
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Disclaimer
The recruitment
details shared above are for informational purposes only and have been obtained
from the organization’s official website. We do not guarantee any job
placements. Recruitment will be conducted according to the company's official
process. We do not charge any fees for sharing this job information.
#ExponentiaAI #DataEngineeringIntern #MumbaiJobs #AITalentAccelerator #Databricks #CloudComputing #DataEngineering
