Data Engineer Intern

About Conversely AI
Conversly AI Private Limited is a fast-growing technology company focused on building intelligent, data-driven systems that power modern customer engagement. We work on automated workflows, analytics platforms, and backend data systems that help businesses unify customer information, derive insights, and enable personalized communication at scale.
(Website: conversely.in)
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Position: Data Engineering Intern (CDP Build Track)
Location: Hybrid (Remote-first; Saturdays in office when required)
Duration: 6 months (with Prospect of Pre-Placement Offer)
Start Date: Immediate
Stipend: ₹7,000 per month
Eligibility: Students / Fresh Graduates (Computer Science, IT, Data Engineering, Data Science, or related disciplines)
Selection: Assignment-based and technical evaluation (apply only if genuinely interested and committed)
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Role Summary
As a Data Engineering Intern, you will work on building a Customer Data Platform (CDP) from the ground up — a system designed to bring scattered customer data into a single, unified, clean, and searchable view.
You will gain hands-on experience working with real datasets, real pipelines, and real backend data problems. This role is ideal for candidates who enjoy structuring messy data, building pipelines, and understanding how data engineering decisions impact products and business outcomes.
The internship emphasizes learning by doing, with close mentorship from the engineering team.

Key Responsibilities

• Ingest data from multiple sources such as CSV files, databases, and APIs
• Clean, standardize, and merge customer data from different systems
• Build unified customer profiles using basic identity resolution rules
• Write Python and SQL scripts for data transformation and processing
• Design and structure data models for efficient querying and analysis
• Assist in making data easily searchable and analytics-ready
• Document data schemas, pipelines, and workflows clearly
• Collaborate with the team to improve data reliability and scalability

Required Skills

• Pursuing or completed a Bachelor’s degree in Computer Science, Data Engineering, Data Science, or a related field
• Comfortable with Python (Pandas / NumPy knowledge is a plus)
• Good understanding of SQL fundamentals
• Basic knowledge of databases (relational vs document-based)
• Interest in data pipelines, backend systems, and infrastructure
• Strong learning mindset, curiosity, and problem-solving approach
• Ability to communicate technical work clearly in written form

Preferred (Plus) Qualifications

• Exposure to tools such as Airflow, dbt, Kafka, Elasticsearch
• Familiarity with data warehouses and analytical data modeling
• Interest in building scalable data infrastructure
• Prior experience with backend systems or APIs
• (Not mandatory — willingness to learn is more important.)

What You Will Gain

• Practical experience building a real-world Customer Data Platform (CDP)
• Exposure to data ingestion, transformation, and identity resolution techniques
• Understanding of data modeling for analytics and personalization use cases
• Insight into how data engineering connects to product, AI, and business teams
• Mentorship from experienced engineers
• Opportunity to transition into a full-time role (PPO) upon strong performance
• Certificate of internship and professional reference

**** Interested candidates can directly apply to this form https://forms.gle/kwCMfbFKTLUs6YAV8 or can reach out at [email protected]**
**** Job Description for Your reference : https://docs.google.com/document/d/1q8Szft38nTQQ886qUUsgvLUMcmCmFkWNalDk6bhVXIU/edit?usp=sharing**