Remote Databricks Data Engineer - Pipelines & Lakehouse

UNAVAILABLE

Argentina

Remote

ARS 92,983,000 - 154,971,000

Full time

2 days ago
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Benefits offered by this job

Remote work (Argentina/Colombia)

Job summary

Bridgenext is seeking an experienced Data Engineer with strong Databricks skills to join a client project. The role focuses on building scalable data pipelines, ETL/ELT processes, and data transformations in production environments.

The ideal candidate will work remotely, with eligibility for candidates in Argentina or Colombia. Strong knowledge of Spark, PySpark, Delta Lake, and cloud integration is required, along with excellent communication and collaboration abilities.

Qualifications

  • Solid hands-on Databricks experience in a production environment.
  • Experience designing, building, and optimizing scalable data pipelines with Spark/SQL.
  • Knowledge of Delta Lake and Lakehouse design patterns.
  • Hands-on with Databricks Workflows or external orchestrators (Airflow).
  • Experience integrating Databricks with cloud providers (AWS/Azure/GCP) and native storage services.

Responsibilities

  • Design, develop, and maintain scalable data pipelines using Databricks.
  • Build and optimize ETL/ELT processes.
  • Work with large datasets and distributed data processing.
  • Develop and maintain data transformation workflows.
  • Ensure data quality, reliability, and performance.

Skills

Databricks Expertise
Data Pipeline design
ETL/ELT
Apache Spark
PySpark
SQL
Delta Lake
Data Lakehouse
Databricks Workflows
Airflow
Cloud Services (AWS/Azure/GCP)
CI/CD

Tools

Databricks
Apache Spark
PySpark
Delta Lake
Airflow

Job description

Bridgenext is seeking an experienced Data Engineer with strong Databricks skills to join a client project. The role focuses on building scalable data pipelines, ETL/ELT processes, and data transformations in production environments.

The ideal candidate will work remotely, with eligibility for candidates in Argentina or Colombia. Strong knowledge of Spark, PySpark, Delta Lake, and cloud integration is required, along with excellent communication and collaboration abilities.

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