Intern Data Engineering

Role Overview: As an intern in the Data Engineering team at Exponentia.ai, you will be part of the AI Talent Accelerator Program aimed at recent experienced graduates like yourself who are keen on developing careers in Data Engineering, AI, and Cloud technologies. This 6-12 month career accelerator program offers a blend of structured training and hands-on experience through enterprise projects, providing you with exposure to Databricks, AI, and cloud ecosystems. Upon successful completion of the program, you will have the opportunity to transition into a full-time Data Engineer role within the company. Key Responsibilities: - Design, construct, and manage data pipelines and ETL processes for various enterprise projects. - Utilize both structured and unstructured datasets to facilitate AI and analytics solutions. - Collaborate closely with senior data engineers and mentors to address real-world business challenges. - Optimize data workflows to ensure quality, scalability, and performance efficiency. - Acquire practical skills working with platforms such as Databricks, Azure, AWS, and MS Fabric. - Provide support to global clients across industries like BFSI, CPG, and Manufacturing. Qualifications Required: - Recent experienced graduate interested in developing a career in Data Engineering, AI, or Cloud technologies. - Strong understanding of data pipelines, ETL processes, and data manipulation techniques. - Familiarity with platforms like Databricks, Azure, AWS, or willingness to learn. - Ability to work collaboratively in a team environment and communicate effectively with stakeholders. - Eagerness to learn and adapt to new technologies and tools within the data engineering domain.,