• 
  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).