Ingeniero de Datos, Databricks

This is a fully remote position, open to applicants in Argentina.

📋 Description

• Design, develop, and maintain robust and scalable data pipelines.

• Implement ETL/ELT processes for the integration and transformation of data from multiple sources.

• Create solutions using Databricks and Apache Spark.

• Build and optimize Lakehouse and Data Lake architectures.

• Ensure the quality, consistency, and availability of data.

• Collaborate with Data Analytics, BI, Data Science, and business teams.

• Participate in performance optimization, data monitoring, and governance initiatives.

• Assist in designing cloud solutions aligned with best practices in data engineering.

• Document developments, processes, and implemented solutions.

⛳️ Requirements

• Over 4 years of experience as a Data Engineer.

• Strong experience working with Databricks in production environments.

• Proficiency in Python.

• Advanced SQL experience.

• Solid knowledge of Apache Spark / PySpark.

• Experience in developing ETL/ELT processes.

• Experience working with cloud platforms (AWS, Azure, or GCP).

• Familiarity with Git and collaborative development methodologies.

• Intermediate-advanced English proficiency.

🏝️ Benefits

• Work-life balance.

• Opportunities for professional development.