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6 days ago
We are seeking a highly skilled Senior Databricks Data Engineer with strong hands-on experience in Databricks and AWS to join our dynamic data engineering team.
The ideal candidate will be well-versed in PySpark, CI/CD pipelines, and Terraform for infrastructure as code. Experience with DAB (Data Access Broker) is highly preferred.
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, preferably leveraging DAB if applicable.
- 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
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