2 дня назад
Data Infrastructure Engineer Intern
800$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Infrastructure Engineer Intern (AWS/Redshift): Maintaining data warehousing systems and monitoring data pipelines with an accent on SQL validation, troubleshooting, and operational automation. Focus on improving data reliability, optimizing repetitive workflows, and exploring distributed data technologies.
Location: Remote in Peru
Salary: $800 USD gross per month
Company
is a fintech and retail company building interest-free installment payment and shopping solutions 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 understand data needs and support data use cases.
- Participate in testing, documentation, and reliability improvements for data systems.
- Automate repetitive manual processes and explore data ecosystem tools.
Requirements
- Must be based in Peru for this remote role.
- 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 an equivalent large language model tool is required.
Nice to have
- Exposure to AWS or other cloud platforms.
- Basic understanding of data pipelines, ETL, and data warehousing.
- Interest in Kafka, Kinesis Streams, Flink, or other big data and streaming technologies.
Culture & Benefits
- Full-time remote work arrangement.
- Collaborative environment with engineers and analysts.
- Opportunities to learn data engineering tools and build real-world technical skills.
- Use of AI tools to improve development workflows, research, communication, and productivity.
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