Azure Databricks Data Engineering Lead
Seaspan Corporation
Lead Azure Databricks engineering at Seaspan in a hands-on team leadership role focused on scalable data solutions and reliable delivery. Direct Data Engineers while shaping Lakehouse architecture, pipelines, and enterprise data products.As Team Lead, Data Engineering, you will guide daily team direction and remain active in solution design, development, testing, troubleshooting, deployment, and production support. You will apply Python, SQL, Delta Lake, and Azure data services across batch and real-time pipelines. The role supports reporting, analytics, machine learning, AI, and data-driven applications through reusable dimensional models and enterprise integrations.Key Responsibilities:
Lead and directly manage Data EngineersDesign scalable solutions using Azure Databricks and Delta LakeBuild and optimize batch and real-time data pipelinesReview code, troubleshoot issues, and support deploymentsSet technical direction, priorities, and engineering standardsRequirements:
At least seven years in data engineering or related developmentThree years with Azure Databricks or comparable cloud platformsStrong Python, SQL, and dimensional modeling skillsExperience leading, coaching, and reviewing Data EngineersKnowledge of governance, lineage, security, and access controlBring technical leadership, Python, SQL, and Azure Databricks expertise to Seaspan’s enterprise data engineering team.
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Lead and directly manage Data EngineersDesign scalable solutions using Azure Databricks and Delta LakeBuild and optimize batch and real-time data pipelinesReview code, troubleshoot issues, and support deploymentsSet technical direction, priorities, and engineering standardsRequirements:
At least seven years in data engineering or related developmentThree years with Azure Databricks or comparable cloud platformsStrong Python, SQL, and dimensional modeling skillsExperience leading, coaching, and reviewing Data EngineersKnowledge of governance, lineage, security, and access controlBring technical leadership, Python, SQL, and Azure Databricks expertise to Seaspan’s enterprise data engineering team.
#J-18808-Ljbffr
Vacancy posted 1 hour ago
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