Analytics/AI Engineer Intern

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).