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High-Performance Data Solutions Engineer
3 weeks ago
We are seeking an accomplished data engineering professional to design, develop and maintain high-performance data pipelines using Databricks and PySpark. This role requires expertise in leveraging cloud services like AWS S3, Glue, Lambda, EMR, and Redshift to deliver scalable data solutions.
Key Responsibilities:- Design and implement complex data pipelines utilizing Databricks and PySpark for efficient data processing.
- Leverage AWS cloud services including S3, Glue, Lambda, EMR, and Redshift to ensure optimal performance and scalability of data solutions.
- Develop and manage continuous integration and deployment (CI/CD) pipelines for automated testing and deployment of data workflows.
- Collaborate with cross-functional teams to design and implement end-to-end data solutions that meet business requirements.
- Monitor, troubleshoot, and optimize the performance of data pipelines and cloud infrastructure.
- Hands-on expertise with Databricks.
- Experience with AWS cloud services.
- Proficiency in PySpark and distributed data processing.
- CI/CD pipeline implementation for data workflows.
