обновлено 9 часов назад
Data Infrastructure Engineer Intern (Fintech)
2 800 000COP
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Infrastructure Engineer Intern (Fintech) (AWS/Redshift): Maintaining and improving data warehousing systems and pipelines with an accent on SQL optimization, data validation, and operational reliability. Focus on troubleshooting data issues, automating repetitive processes, and exploring distributed data technologies.
Location: Remote in Colombia
Salary: 2,800,000 COP monthly
Company
is a fintech and retail technology company building interest-free installment payment solutions and shopping experiences for consumers and merchants.
What you will do
- Maintain and improve data warehousing systems using AWS DMS and Redshift.
- Monitor data pipelines, identify issues, and troubleshoot basic problems.
- Write and optimize SQL queries for analytics and data validation.
- Collaborate with engineers and analysts to support data use cases.
- Participate in testing, documentation, and reliability improvements for data systems.
- Automate repetitive manual processes and explore new data ecosystem technologies.
Requirements
- Currently pursuing or recently completed a degree in Computer Science, Data Engineering, or a related technical field.
- Basic understanding of relational databases such as MySQL and PostgreSQL, as well as NoSQL databases.
- Familiarity with Python, Go, or a similar programming language.
- Interest in data infrastructure, distributed systems, or backend engineering.
- Strong problem-solving skills, clear communication, collaboration, and willingness to learn.
- Demonstrated experience with Claude or equivalent large language model tools is required.
Nice to have
- Exposure to AWS or other cloud platforms.
- Basic understanding of data pipelines, ETL, and data warehousing concepts.
- Interest in big data or streaming technologies such as Kafka, Kinesis Streams, or Flink.
Culture & Benefits
- Full-time remote work arrangement in Colombia.
- Fast-paced environment with opportunities for career advancement and practical data engineering experience.
- Collaborative culture focused on curiosity, ownership, feedback, and continuous improvement.
- Technology stack includes Golang, TypeScript, Python, AWS, Kubernetes, MySQL, PostgreSQL, Elasticsearch, Redshift, GitLab, and automated testing.
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