Elevate your data engineering skills as a Remote Azure Databricks Data Engineer with Cognizant. Create and optimize scalable data solutions, enhancing analytics in cloud environments.As a crucial member of the Data Engineering team, you will collaborate with architects and data scientists to build high-quality data pipelines and frameworks. Your role requires advanced programming in Python, expertise in Azure Databricks, and a robust grasp of data processing concepts. This position encourages innovative solutions for data ingestion, transformation,



and production support across remote environments.Key Responsibilities:Design and maintain data pipelines using Azure Databricks and PySparkOptimize data frameworks for large-scale datasetsImplement cloud-native data engineering solutionsMonitor and troubleshoot data platforms and pipelinesCollaborate with stakeholders to translate requirements into solutionsRequirements:8-12 years in Data Engineering or related fieldsHands-on Azure Databricks experience in enterprisesProficient in Python and distributed data processing with PySparkBackground in ETL/ELT pipeline developmentStrong understanding of Azure cloud services and SQLBring your data engineering expertise and collaborative spirit to Cognizant as you drive impactful solutions remotely.

📌 Remote Azure Databricks Data Engineer (Vancouver)
🏢 Cognizant
📍 Vancouver