Data Engineer

Ryz Labs; Buenos Aires; Teletrabalho; BRL 50.000 - 90.000; Tempo integral

Resumo da oferta

An innovative startup is seeking a Data Engineer to enhance data monitoring systems for major clients. This role is pivotal in building robust alerting workflows, ensuring high data quality and reliability across pipelines. Collaborate with a dynamic team to improve orchestration and monitoring using cutting-edge tools like Snowflake, dbt, and AWS services. Enjoy autonomy and growth opportunities in a remote environment that fosters learning and innovation. Join a forward-thinking company dedicated to creating impactful solutions and shaping the future of technology.

Qualificações

• Strong understanding of Snowflake architecture and performance tuning.
• Experience creating and maintaining dbt models with test coverage.
• Expertise in managing Airflow DAGs and structuring tasks.

Responsabilidades

• Design and implement a resilient data monitoring framework.
• Enhance alerting mechanisms for pipeline failures and data anomalies.
• Streamline orchestration and dependency management in Airflow.

Conhecimentos

Snowflake

dbt

Airflow

AWS DMS

Kinesis

Firehose

Data Monitoring Tools

Descrição da oferta de emprego

Join to apply for the Data Engineer role at Ryz Labs.

Ryz Labs is looking for a Data Engineer to help enhance and stabilize the data monitoring system for one of our biggest clients. The role focuses on building robust, scalable, and proactive alerting workflows to ensure high data quality and reliability across pipelines. You will collaborate with the data engineering team to improve orchestration and monitoring using tools like Snowflake, dbt, Airflow, and AWS services.

Key Responsibilities:

• Design and implement a resilient data monitoring framework to improve incident detection and reduce false positives.
• Enhance alerting mechanisms for pipeline failures, data anomalies, and data freshness across Snowflake and dbt models.
• Streamline orchestration and dependency management in Airflow to increase reliability and observability.
• Integrate AWS DMS, Kinesis, and Firehose monitoring into our centralized alerting system.
• Collaborate with stakeholders to define SLAs and implement meaningful metrics for data health.
• Document monitoring architecture and ensure knowledge transfer to internal teams.

Qualifications:

• Strong understanding of Snowflake architecture, performance tuning, and metadata management.
• Experience creating and maintaining dbt models with test coverage and clear documentation.
• Expertise in managing Airflow DAGs, handling retries, and structuring tasks for reliability and visibility; experience with Astronomer is a bonus.
• Deep familiarity with AWS DMS, Kinesis, and Firehose, especially around monitoring and alerting integrations.
• Experience with data monitoring tools or custom observability frameworks.

About RYZ Labs:

RYZ Labs is a startup studio founded in 2021 by entrepreneurs with experience at major tech companies and iconic brands. Based in Argentina, the team is remote and distributed across the US and Latam. We leverage cutting-edge cloud technologies to build scalable, resilient applications and aim to create multiple startups in the coming years.

At RYZ, you will work with autonomy, ownership, and opportunities for growth. We foster an environment of learning, innovation, and challenging projects, where you can deepen your expertise and collaborate with talented professionals.

Our core values include:

• Customer First Mentality
• Bias for Action
• Ownership
• Humility and Respect
• Frugality
• Deliver Impact
• Raise our Standards

Additional Details:

• Seniority level: Not Applicable
• Employment type: Full-time
• Job function: Information Technology
• Industries: Technology, Information and Internet