Remote Azure Databricks Data Engineer

Cognizant

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 collaborative spirit to Cognizant as you drive impactful solutions remotely. #J-18808-Ljbffr

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Vacancy posted 13 hours ago

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