обновлено 13 дней назад
Data Infrastructure Engineer Intern (AI)
2 800 000COP
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Infrastructure Engineer Intern (AI/Data Infrastructure): Supporting data warehousing systems, pipelines, SQL validation, and operational automation for a fintech and retail platform with an accent on AWS DMS, Redshift, relational databases, and data reliability. Focus on monitoring and troubleshooting pipelines, optimizing queries, automating repetitive processes, and using AI tools such as Claude to accelerate engineering workflows.
Location: Remote in Colombia
Salary: 2,800,000 COP monthly
Company
is a fintech and retail technology company providing interest-free installment payment solutions and shopping experiences for consumers and merchants.
What you will do
- Maintain and improve data warehousing systems, including AWS DMS and Redshift.
- Monitor data pipelines, identify issues, and troubleshoot basic reliability problems.
- Write and optimize SQL queries for analytics and data validation.
- Collaborate with engineers and analysts to support data-driven use cases.
- Participate in testing, documentation, and reliability improvements for data systems.
- Automate repetitive manual processes and reduce operational overhead.
Requirements
- Currently pursuing or recently completed a degree in Computer Science, Data Engineering, or a related technical field.
- Basic knowledge of relational databases, including 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.
- Demonstrated experience with Claude or equivalent large language model tools is required.
- Strong problem-solving, communication, collaboration, and learning skills.
Nice to have
- Exposure to AWS or other cloud platforms.
- Basic understanding of data pipelines, ETL, and data warehousing concepts.
- Interest in Kafka, Kinesis Streams, Flink, or other big data and streaming technologies.
Culture & Benefits
- Full-time role in a collaborative, fast-paced engineering environment.
- Opportunities to learn new tools and build practical data engineering skills.
- Focus on ownership, proactive learning, clear communication, and continuous improvement.
- Technology stack includes Golang, TypeScript, Python, MySQL, PostgreSQL, Elasticsearch, Redshift, AWS, Kubernetes, Git, and GitLab.
- Testing emphasizes automated end-to-end, integration, unit, and AI-driven testing.
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