Analytics/AI Engineer Intern

About The Role

Analytics/AI Engineer

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).