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.