Senior Databricks Data Engineer - Remote Poland

Optiveum

United States

A distancia

USD 49.000 - 69.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Descripción de la vacante

Optiveum is partnering with a leading technology organization to hire a Senior Databricks Data Engineer for 100% remote work with Poland as the focal location. You will design and implement scalable data solutions on Databricks across AWS, Azure, and GCP, leveraging modern data engineering practices and DevOps.

The role emphasizes Python-based pipelines, data security and governance, and collaboration with architects to uphold best practices.

Formación

  • Commercial experience in data engineering with Databricks.
  • Strong Python for automation and data transformation.
  • Experience with at least one major cloud platform (AWS/Azure/GCP).
  • Strong English and Polish language communication.
  • Experience with DevOps, CI/CD, and IaC (Terraform, Bicep).
  • Experience with real-time data streaming (Kafka, Spark Streaming).
  • Knowledge of Data Lake, Snowflake, Synapse.
  • Hands-on PySpark for distributed data processing.

Responsabilidades

  • Design data processing solutions using Databricks for large-scale datasets.
  • Build and enhance data pipelines with Python and cloud-native tools.
  • Collaborate with solution architects to uphold best data engineering practices.
  • Ensure data security, consistency, and scalability in cloud environments.

Conocimientos

Strong communication skills
English proficiency
Polish proficiency

Educación

Databricks Certified Data Engineer Associate

Herramientas

Databricks
Python
AWS
Azure
GCP
Kafka
Spark Streaming
PySpark
Terraform
Bicep
Data Lake
Snowflake
Synapse

Descripción del empleo

Optiveum is partnering with a leading technology organization to hire a Senior Databricks Data Engineer for 100% remote work with Poland as the focal location. You will design and implement scalable data solutions on Databricks across AWS, Azure, and GCP, leveraging modern data engineering practices and DevOps.

The role emphasizes Python-based pipelines, data security and governance, and collaboration with architects to uphold best practices.

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