Senior Data Engineer - Montevideo

Job summary

Join us at Montevideo Labs to grow our business and execute our mission to help organizations leverage data and technology to make better decisions.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines for AI and analytics applications.
• Optimize data architectures and storage solutions using Databricks, Snowflake, and cloud-based platforms.
• Develop big data processing jobs using PySpark, Spark SQL, and distributed computing frameworks.
• Ensure data quality, governance, and security best practices across all environments.
• Implement CI/CD workflows for automated deployment and infrastructure as code (IaC).
• Collaborate with cross-functional teams to build end-to-end data solutions.
• Lead troubleshooting and performance tuning efforts for high-volume data processing systems.
• Develop and maintain Python-based backend services to support data infrastructure.
• Implement Apache Airflow, Dataplane, or similar orchestration tools to automate and monitor workflows.

Qualifications

• Strong proficiency in SQL for data processing and transformation.
• Strong knowledge of object-oriented programming in at least one language (Python, Scala, or Java).
• Hands-on experience deploying and managing large-scale data pipelines in production environments.
• Expertise in workflow orchestration tools like Apache Airflow, Dataplane, or equivalent.
• Deep understanding of cloud-based data platforms such as Databricks and Snowflake (Databricks preferred).
• Knowledge of CI/CD pipelines and infrastructure as code for data workflows.
• Familiarity with cloud environments (AWS preferred, Azure, or GCP) and cloud-native data processing.
• Expertise in Spark, PySpark, and Spark SQL, with a solid understanding of distributed computing frameworks.
• Proven ability to lead projects and mentor junior engineers in a fast-paced, collaborative environment.

Descripción del trabajo