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.
Remote Azure Databricks Data Engineer in Toronto employer: Cognizant
Cognizant is an exceptional employer that fosters a dynamic work culture focused on innovation and collaboration, particularly in the fast-paced financial services sector. Employees benefit from comprehensive growth opportunities, including access to cutting-edge technologies and professional development programs, all while working in a supportive environment that values diversity and inclusion. Located in a vibrant tech hub, Cognizant offers unique advantages such as networking with industry leaders and participating in transformative projects that make a real impact.
