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High Performance Data Architect
3 weeks ago
Job Description:
We are seeking a highly skilled professional with expertise in designing, developing and maintaining scalable and high-performance data pipelines using Databricks and PySpark.
The ideal candidate will be well-versed in implementing and managing data solutions on AWS, including services like S3, Glue, Lambda, EMR and Redshift.
Main Responsibilities:
- Design and develop scalable data pipelines using Databricks and PySpark to meet business needs.
- Implement and manage data solutions on AWS, ensuring compliance with security, governance and compliance practices.
- Collaborate with cross-functional teams to support end-to-end data solutions.
- Monitor, troubleshoot and optimize performance of data pipelines and cloud infrastructure.
Requirements:
- Strong hands-on experience in Databricks and PySpark.
- Proficiency in CI/CD tools for automated deployment and testing of data workflows.
- Experience with Terraform for infrastructure as code is highly preferred.
- Excellent collaboration and communication skills.
Benefits:
- Opportunity to work with cutting-edge technology and innovative projects.
- Collaborative and dynamic work environment.
- Professional growth and development opportunities.
