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Mid-level, common data-engineering title with explicit 5+ years and general Azure/Databricks skills.
Azure Databricks and ADF skills are transferable but require cloud-specific experience.
Explicit 5+ years requirement plus mandatory Databricks and ADF skills restricts candidate pool.
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Translate business data ingestion and cloud data engineering requirements into Databricks and Azure Data Factory (ADF) pipeline designs and development.
Develop and manage data pipelines using Databricks and ADF following the medallion architecture in Azure Data Lake.
Collaborate within Agile teams across multi-cloud and on-premises environments to deliver scalable data engineering solutions and identify operational risks.
Minimum 5+ years hands-on experience developing Databricks and Azure Data Factory pipelines.
Strong expertise in cloud data engineering on Azure and implementing medallion architecture in Azure Data Lake.
Experience working in multi-disciplinary Agile teams using Agile methodologies and tools.
Work Experience Required: At least 5 years in relevant data engineering roles.
Experienced in designing and building scalable data pipelines specifically using Databricks and Azure Data Factory in cloud/on-prem environments.
Comfortable working in Agile, cross-functional teams delivering cloud data solutions.
Capable of identifying and mitigating operational risks within cloud data platforms.