Databricks Data Engineer, Lakehouse & ETL (Remote)

BairesDev; Santiago; Remoto; CLP 41.217.000 - 68.695.000; Tempo pieno

Vantaggi offerti da questo lavoro

100% remote

Pay in USD or local currency

Home office setup

Flexible hours

Paid parental leave

Career growth

Descrizione del lavoro

BairesDev is seeking a Data Engineer (Databricks) to design and maintain scalable data pipelines within Databricks environments. You will connect raw data sources to analytics-ready datasets, applying lakehouse architectures to ensure data reliability.

You will work remotely with a diverse team, implement end-to-end ETL/ELT, build Bronze/Silver/Gold layers, and collaborate with data scientists to enable advanced analytics and ML workloads. Fluent English and 4+ years of experience required.

Competenze

• 4+ years of experience in Data Engineering or Software Engineering.
• Proven expertise in developing and optimizing data pipelines using Databricks and PySpark.
• Strong proficiency in SQL and experience with data warehousing concepts.
• Hands-on experience building and maintaining data lakehouse architectures.
• Deep understanding of ETL/ELT processes and large-scale data transformations.
• Advanced proficiency in English.

Mansioni

• Design and implement end-to-end ETL pipelines using PySpark and SQL within the Databricks platform.
• Build and optimize data transformations following the Medallion Architecture to create high-quality Bronze, Silver, and Gold layers.
• Develop declarative pipelines and manage complex orchestration workflows to ensure reliable production deployments.
• Collaborate with data scientists and analysts to provide clean, structured data for advanced analytics and machine learning workloads.
• Ensure data integrity and performance through proactive monitoring, schema enforcement, and automated data quality checks.
• Maintain and scale lakehouse environments to handle diverse structured and unstructured datasets efficiently.

Conoscenze

Databricks

PySpark

SQL

ETL/ELT

Data warehousing concepts

English proficiency

Strumenti

Databricks platform

PySpark

SQL

Descrizione del lavoro

BairesDev is seeking a Data Engineer (Databricks) to design and maintain scalable data pipelines within Databricks environments. You will connect raw data sources to analytics-ready datasets, applying lakehouse architectures to ensure data reliability.

You will work remotely with a diverse team, implement end-to-end ETL/ELT, build Bronze/Silver/Gold layers, and collaborate with data scientists to enable advanced analytics and ML workloads. Fluent English and 4+ years of experience required.