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Senior Cloud Data Engineer
2 weeks ago
We are seeking an experienced Databricks engineer to design and develop scalable data pipelines. This role involves working with PySpark, AWS services, and Terraform for infrastructure as code.
Key Responsibilities:- Create efficient and high-performance data processing workflows using Databricks and PySpark.
- Implement and manage large-scale data solutions on AWS, including services like S3, Glue, Lambda, EMR, and Redshift.
- Use CI/CD tools for automated deployment and testing of data workflows.
- Develop cloud infrastructure using Terraform to provision and manage resources.
- Collaborate with cross-functional teams to support end-to-end data solutions.
- Monitor, troubleshoot, and optimize the performance of data pipelines and cloud infrastructure.
The ideal candidate should have a minimum of 10+ years of experience with Databricks and solid experience with AWS cloud services. Proficiency in PySpark and distributed data processing is required.
