Data Engineer

RyzLabs Inc.; Buenos Aires; Presencial; ARS 4.500.000 - 6.500.000; Jornada completa

Descripción de la vacante

Ryz Labs is seeking a Senior Data Engineer to join a client’s growing technology team in Buenos Aires. You will design and maintain data infrastructure, build scalable ETL pipelines processing millions of records, and turn raw data into actionable business insights.

You will work with Python, PostgreSQL, Apache Airflow, Spark, ClickHouse, Snowflake, Elasticsearch and AWS, collaborating with Data Scientists to improve reliability, performance and scale in a fast-paced startup environment.

Formación

• 6+ years of experience building and maintaining production data systems.
• Strong Python and PostgreSQL skills.
• Hands-on experience with cloud data tools (AWS, Snowflake) and data processing frameworks.
• Experience designing high-throughput, fault-tolerant data pipelines.
• Ability to work with large datasets and collaborate with cross-functional teams.
• Bachelor's degree in CS, Data Eng, or related field.

Responsabilidades

• 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 AWS, Snowflake, ClickHouse, Elasticsearch, Spark, and AWS.
• Collaborate with Data Scientists to transform data into insights.
• Improve the reliability, scalability, and performance of existing data systems.

Conocimientos

Python

PostgreSQL

Apache Airflow

Spark

Snowflake

ClickHouse

Elasticsearch

AWS

Data pipelines

Educación

Bachelor's degree in Computer Science or related field

Herramientas

Airflow

Snowflake

ClickHouse

Elasticsearch

Spark

AWS

Descripción del empleo

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.