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Job Description & How to Apply Below
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 Py Spark
• 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 Py Spark
• Background in ETL/ELT pipeline development
• Strong understanding of Azure cloud services and SQL
Bring your data engineering expertise and collaborative spirit to Cognizant as you drive impactful solutions remotely.
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