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 strong 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 PySpark
• Optimize data frameworks for large-scale datasets
• Implement cloud-native data engineering solutions




• Monitor and troubleshoot data platforms and pipelines
• Collaborate with stakeholders to translate requirements into solutions

Requirements:
• 8-12 years in Data Engineering or related fields
• Hands-on Azure Databricks experience in enterprises
• Proficient in Python and distributed data processing with PySpark
• Background in ETL/ELT pipeline development
• Strong understanding of Azure cloud services and SQL

Bring your data engineering expertise and cooperative spirit to Cognizant as you drive impactful solutions remotely.
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📌 Remote Azure Databricks Data Engineer (Alberta)
🏢 Cognizant
📍 Alberta