Data Engineer - Intern

Support the design, development, and maintenance of scalable data pipelines and ETL processes. Assist in collecting, cleaning, transforming, and organizing data from multiple sources (APIs, databases, external systems). Work with engineering and analytics teams to ensure high data quality and consistency. Help manage and monitor databases, data warehouses, and cloud storage systems. Contribute to the documentation of data flows, schema designs, and process improvements. Support in building dashboards and reports to visualize business insights. Stay informed about new data engineering tools, technologies, and best practices. Requirements Currently pursuing or recently completed a degree in Computer Science, Data Science, Information Systems, Statistics, or related field. Basic understanding of Python or SQL for data manipulation. Familiarity with data structures, databases (MySQL, PostgreSQL), and ETL concepts. Interest in learning cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Airflow, etc.). Strong analytical thinking and attention to detail. Eagerness to learn, collaborate, and grow in a fast-paced fintech environment. Benefits Monthly internship allowance. Hands-on experience working on real fintech data projects. Mentorship from experienced data and software engineers. Hybrid work model (3 days in-office, 2 days remote).