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Advanced Cloud Data Architect
3 weeks ago
The primary function of this Senior Databricks Data Engineer role is to design, develop, and maintain scalable and high-performance data pipelines using Databricks and PySpark.
- Develop and execute complex data engineering solutions on AWS, incorporating services like S3, Glue, Lambda, EMR, and Redshift.
- Implement CI/CD tools for automated deployment and testing of data workflows.
- Design infrastructure as code using Terraform to provision and manage cloud resources.
- Collaborate with cross-functional teams to support end-to-end data solutions.
- Monitor, troubleshoot, and optimize performance of data pipelines and cloud infrastructure.
Key Responsibilities:
• Proficiency in Databricks (Mandatory)
• Solid experience with AWS cloud services (Mandatory)
• Hands-on experience with PySpark and distributed data processing
• Implementation of CI/CD processes for data workflows
• In-depth knowledge of Terraform for infrastructure management
Responsibilities include
- Expertise in designing and developing data pipelines
- Managing large-scale data environments
- Leading the development of data engineering solutions
- Ensuring scalability and reliability of data systems
- Developing and enforcing best practices in data governance