Only for professionals based in Latam.

At Ryz Labs we are looking for a Senior Data Engineer to join one of our clients' teams, a growing technology team building data products for the music and entertainment industry. You will work with large-scale datasets and help design reliable data infrastructure that turns complex data into actionable insights.

Responsibilities

- Build and optimize ETL/data pipelines processing millions of records daily
- Design scalable data ingestion systems integrating streaming platforms, social media, and other data sources
- Architect and maintain cloud-based data infrastructure
- Develop production-ready Python applications and complex PostgreSQL queries
- Work with technologies such as AWS, Snowflake, ClickHouse, Elasticsearch, Spark, and Airflow
- Collaborate with Data Scientists and other teams to transform raw data into useful business insights
- Improve the reliability, scalability, and performance of existing data systems

Requirements





- 6+ years of experience building and maintaining production data systems
- Strong experience with Python and PostgreSQL
- Hands-on experience with Apache Airflow, ClickHouse, Snowflake, Elasticsearch, Apache Spark, and AWS
- Experience designing high-throughput, fault-tolerant data pipelines
- Ability to work with large-scale datasets and distributed systems
- Strong communication and collaboration skills
- Bachelor's degree in Computer Science, Data Engineering, or a related field, or equivalent practical experience
- Comfortable working in a fast-paced startup environment

Nice to Have

- Experience working with music or entertainment industry data
- Experience with streaming APIs or social media data
- Experience working with large-scale consumer data platforms

📌 Data Engineer (Buenos Aires)
🏢 Ryz Labs
📍 Buenos Aires