Databricks Data Engineer — Remote & Flexible Hours

BairesDev

United States

Remoto

CLP 78.125.000 - 117.188.000

Tempo pieno

13 ore fa
Candidati tra i primi

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Vantaggi offerti da questo lavoro

Remote work
USD compensation
Hardware provided
Flexible hours
Paid parental leaves
Mentorship & growth
Diverse team

Descrizione del lavoro

BairesDev is hiring a Databricks Data Engineer (Apache Spark) to design and optimize large-scale data pipelines across cloud environments. You will build data architectures using lakehouse and warehouse platforms, and collaborate with cross-functional teams to translate business requirements into scalable data structures.

We value advanced English, 5+ years of data engineering or software engineering experience, and a strong track record in Spark and Databricks.

Competenze

  • 5+ years of experience in Data Engineering or Software Engineering.
  • Proven expertise building data pipelines with Spark and Databricks.
  • Strong data processing, cloud data architectures, and data modeling skills.
  • Advanced proficiency in English.

Mansioni

  • Design, implement, and optimize robust data pipelines to handle large-scale data workflows.
  • Build efficient data architectures using modern lakehouse and warehouse platforms.
  • Optimize processing jobs for peak performance, resource allocation, and cost-efficiency.
  • Collaborate with cross-functional teams to translate complex business requirements into future-ready data structures.
  • Ensure data integrity, reliable ingestion, and clean data modeling across cloud environments.

Conoscenze

Apache Spark
Databricks
Data pipelines
Data modeling
Cloud data architectures
English (Advanced)

Strumenti

Databricks

Descrizione del lavoro

BairesDev is hiring a Databricks Data Engineer (Apache Spark) to design and optimize large-scale data pipelines across cloud environments. You will build data architectures using lakehouse and warehouse platforms, and collaborate with cross-functional teams to translate business requirements into scalable data structures.

We value advanced English, 5+ years of data engineering or software engineering experience, and a strong track record in Spark and Databricks.

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