Intern Will Learn And Be Exposed To Gain hands-on experience in creating and interpreting data mapping documents, essential for building scalable data pipelines. Hands-on experience in real-world data modelling Understanding of centralized data repository and data lake Opportunity to develop organizational, communication, and analytical skills. Specific Responsibilities Create and maintain data mapping documents to define the relationships between source data and target schemas. Work closely with business and technical teams to ensure that data mapping aligns with business rules and reporting needs. Assist in designing, developing, and maintaining ETL/ELT data pipelines. Support the ingestion of data from multiple sources into a centralized data repository or data lake. Perform basic data cleaning, transformation, and validation to ensure data quality and integrity. Requirements Minimum internship period 5 months, preferably in final semester Currently pursuing a degree in Computer Science, Information Systems, Data Management, Data Analytics, or related field. Solid understanding of SQL (e.g., SELECT, JOIN, GROUP BY, subqueries, etc.). Familiarity with relational databases such as oracle, MySQL, PostgreSQL or SQL Server Attention to detail, especially with data accuracy and query logic. Strong communication and documentation skills. Bonus: Exposure to data visualization tools.
