Chandkheda Ahmedabad Gujarat Data analyst internship Jobs – 3 Open Jobs Today

AI & Data Engineering Intern
Anblicks —Ahmedabad, Gujarat
- Azure
- Computer Science
- Engineering
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Management Systems Analyst
4C Consulting —Ahmedabad, Gujarat
- Microsoft Powerpoint
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- Microsoft Excel
BA Intern
Centre for Computational Technologies —Ahmedabad, Gujarat
- Azure
- Computer Science
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AI & Data Engineering Intern
Anblicks —Ahmedabad, Gujarat
Collaborate with data engineers, AI engineers, and analysts to translate business problems into AI‑first technical solutions.
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Data Engineering Intern
BRILWORKS TECHNOLOGY PRIVATE LIMITED —Ahmedabad, Gujarat
Familiarity with dbt (data build tool) — even working through the dbt Learn. Python proficiency: writing scripts, working with pandas / PySpark, reading and.
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AI & Data Engineering Intern

Anblicks -
Ahmedabad, Gujarat

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Job details

Fresher | Internship

Qualifications

Azure
Computer Science
Engineering
Data structures
Spark
Databases
SQL
Analysis skills
Bachelor's degree
Machine learning
Data science
AI
Communication skills
Python

Full job description

Job Description – AI & Data Engineering Intern

Experience: 0 Years (Freshers) - 2026 Passouts

About the Role

We are looking for a highly motivated AI & Data Engineering Intern to join our organization, which specializes in building AI‑driven, data‑centric solutions for real‑world business problems.

This role is designed for fresh graduates or final‑year students who want hands‑on exposure to modern data platforms, AI‑enabled architectures, and cloud‑scale data engineering.

Key Responsibilities

Assist in building and maintaining data pipelines that support AI‑driven analytics and machine learning use cases

Work on structured and semi‑structured data ingestion, transformation, and preparation for analytical and AI workloads

Write, optimize, and troubleshoot SQL queries, including working with Snowflake cloud data warehouse

Use Python for data processing, transformation, and feature preparation for AI/ML workflows

Gain hands‑on exposure to Databricks (Apache Spark fundamentals) for scalable data processing

Support data quality checks, validation, and monitoring to ensure reliable AI‑ready datasets

Understand how data engineering enables AI‑based solutions, such as feature engineering, model inputs, and analytical datasets

Collaborate with data engineers, AI engineers, and analysts to translate business problems into AI‑first technical solutions

Participate in debugging, testing, and performance optimization of data pipelines and workflows

Document data flows, transformations, and solution approaches for maintainability and reuse

Eligibility Criteria

Bachelor’s degree in Engineering (Computer Science, IT, Data Science, or related fields) (Only 2026 Passouts)

Basic understanding of SQL and Python

Familiarity with databases, data structures, and fundamental data processing concepts

Basic awareness of AI/ML concepts, cloud platforms, or analytics is an added advantage

Tools & Technologies (Exposure During Internship)

Programming: Python, SQL

Data Platforms: Snowflake, Databricks

Cloud: Azure (preferred)

AI Enablement: Data preparation for AI/ML, analytical and feature datasets

Key Skills & Attributes

Strong analytical and problem‑solving mindset

Interest in AI‑driven data solutions

Willingness to learn modern data platforms and emerging AI technologies

Good communication and collaboration skills

Ability to work effectively in fast‑paced, team‑oriented environments

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