Analytics/AI Engineer Intern

About the Role:

We are looking for a highly skilled Analytics/AI Engineer to bridge the gap between data engineering and data analysis. You will play a critical role in building scalable data pipelines, transforming raw data into actionable insights, and enabling data-driven decision-making across the organization.

Key Responsibilities:

• •Design and implement robust, scalable data pipelines using PySpark , Python, Polars and Gen-AI .
• •Develop data models and transformation logic to support analytics and business intelligence needs.
• •Leverage Python and Object-Oriented Programming (OOPs) principles to build reusable and maintainable data tools and workflows.
• •Utilize Databricks and cloud-based platforms to process and manage large datasets efficiently.
• •Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver clean, trusted data.
• •Ensure high data quality and consistency across different systems and reports.

Must-Have Skills:

• •Strong knowledge of Python programming .
• •Good understanding of Object-Oriented Programming (OOPs) concepts.
• •Advanced SQL skills for data manipulation and querying.
• •Experience with PySpark , Polars for distributed and in-memory data processing.
• •Ability to work independently in a fast-paced , agile environment.
• •Problem-solving mindset with eagerness to learn and experiment.
• •Good communication and collaboration skills.

Nice to Have:

• •Understanding of data architecture, ETL/ELT processes, and data modelling.
• •Knowledge on Databricks and Azure Cloud Environment.
• •Good to have an understanding on Data Structures and Algorithms.
• •Familiarity with best coding practices, CI/CD & version control (Git).