Job Description
Transform your data engineering career with Cognizant as a Senior Databricks Developer in Toronto, Ontario. Utilize your skills in Databricks SQL and PySpark to develop powerful analytics solutions in a hybrid environment.
In this senior role, you will create comprehensive data architectures adapted to enterprise demands. Your extensive experience in Databricks SQL, PySpark, and data governance frameworks will enable you to design and implement efficient data pipelines. Collaboration with stakeholders is essential as you convert complex requirements into innovative, practical solutions.
Key Responsibilities: • Design scalable end-to-end data architectures on Databricks • Develop PySpark-based pipelines for large-scale data processing • Build high-performance SQL models and queries for analytics • Implement orchestration standards for Databricks Workflows • Communicate technical trade-offs to diverse teams
Requirements: • 6+ years in data engineering or analyt...
In this senior role, you will create comprehensive data architectures adapted to enterprise demands. Your extensive experience in Databricks SQL, PySpark, and data governance frameworks will enable you to design and implement efficient data pipelines. Collaboration with stakeholders is essential as you convert complex requirements into innovative, practical solutions.
Key Responsibilities: • Design scalable end-to-end data architectures on Databricks • Develop PySpark-based pipelines for large-scale data processing • Build high-performance SQL models and queries for analytics • Implement orchestration standards for Databricks Workflows • Communicate technical trade-offs to diverse teams
Requirements: • 6+ years in data engineering or analyt...