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 cutting-edge 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.