Senior Azure Data Platform Engineer
Jobgether
Build scalable data platforms with Databricks, Python, and SQL as a Senior Data Engineer working remotely from Canada. Shape reliable data products.This senior position focuses on developing and operating a modern Microsoft Azure data platform. You will design scalable pipelines, manage Databricks transformations, and apply Apache Spark. Data Vault 2.0, dbt Core, validation, and CI/CD practices support dependable engineering solutions.Key Responsibilities:
Develop, maintain, and operate the Databricks data platformDesign and optimize scalable pipelines and data productsImplement Data Vault 2.0 data modelsManage dbt Core transformations within DatabricksMaintain testing, validation, and data quality processesRequirements:
At least five years of professional data engineering experienceStrong Databricks, SQL, Python, Apache Spark, and PySpark experiencePractical Microsoft Azure data solution operations experienceAdvanced dbt Core knowledge within Databricks environmentsFluent German and English communication skillsApply Azure, Databricks, dbt Core, and data modeling expertise to operate scalable enterprise data platforms remotely.
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Develop, maintain, and operate the Databricks data platformDesign and optimize scalable pipelines and data productsImplement Data Vault 2.0 data modelsManage dbt Core transformations within DatabricksMaintain testing, validation, and data quality processesRequirements:
At least five years of professional data engineering experienceStrong Databricks, SQL, Python, Apache Spark, and PySpark experiencePractical Microsoft Azure data solution operations experienceAdvanced dbt Core knowledge within Databricks environmentsFluent German and English communication skillsApply Azure, Databricks, dbt Core, and data modeling expertise to operate scalable enterprise data platforms remotely.
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Vacancy posted 59 minutes ago
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