
Cloud Data Engineer Role
4 days ago
Job Summary:
We are seeking an experienced cloud data engineer to design and implement scalable data architectures using Databricks clusters, notebooks, libraries, and job scheduling.
Key Responsibilities:
- Manage and maintain large-scale Databricks environments.
- Design and implement scalable data pipelines using Python, Scala, or SQL.
- Optimize Spark performance, implement data caching, and tune cluster settings for high-performance applications.
- Develop and deploy data processing pipelines using Python, Scala, or SQL.
- Implement infrastructure automation using Terraform, ARM templates, or CloudFormation.
- Collaborate with cross-functional teams to ensure smooth operation of Databricks services.
Required Skills and Qualifications:
- 7+ years of experience as a cloud data engineer or in a similar role.
- Strong knowledge of Azure/AWS Databricks and cloud computing platforms.
- Hands-on experience with Databricks clusters, notebooks, libraries, and job scheduling.
- Expertise in Spark optimization, data caching, and performance tuning.
- Proficiency in Python, Scala, or SQL for data processing.
- Experience with Terraform, ARM templates, or CloudFormation for infrastructure automation.
- Familiarity with Git, DevOps, and CI/CD pipelines.
Benefits:
- A dynamic and supportive team environment.
- Opportunities for professional growth and development.
- A competitive salary and benefits package.
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