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).