Chief Databricks Data Architect
19 hours ago
Job Title: Databricks Data Engineer
We are seeking a highly skilled professional to join our dynamic data engineering team as a Senior Databricks Data Engineer. The ideal candidate will be well-versed in PySpark, CI/CD pipelines, and Terraform for infrastructure as code.
Key Responsibilities:
- Design, develop, and maintain scalable and high-performance data pipelines using Databricks and PySpark.
- Implement and manage 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 infrastructure as code using Terraform to provision and manage cloud resources.
- Collaborate with data scientists, analysts, and other engineering teams to support end-to-end data solutions.
- Monitor, troubleshoot, and optimize performance of data pipelines and cloud infrastructure.
- Work on data governance, security, and compliance practices.
Must-Have Skills:
- Strong hands-on experience with Databricks.
- Solid experience with AWS cloud services.
- Proficiency in PySpark and distributed data processing.
- Experience in CI/CD implementation for data workflows.
- Hands-on with Terraform for infrastructure management.
About the Role:
This is an exciting opportunity for a seasoned data engineer to take on a key role in our data engineering team. If you are passionate about working with large-scale data systems and have experience with Databricks and AWS, we encourage you to apply.
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