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Chief Data Engineering Specialist
2 weeks ago
We are seeking an experienced Senior Databricks Data Engineer to join our team and play a key role in designing, developing, and maintaining scalable and high-performance data pipelines using Databricks and PySpark.
Key Responsibilities:- Design and develop efficient data pipelines that cater to the organization's data needs.
- Implement and manage data solutions on AWS, utilizing services like S3, Glue, Lambda, EMR, and Redshift.
- Utilize 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.
- Contribute to data governance, security, and compliance practices.
- Proven expertise in Databricks (Essential)
- Strong experience with AWS cloud services (Essential)
- Proficiency in PySpark and distributed data processing
- Experience in implementing CI/CD processes for data workflows
- Hands-on experience with Terraform for infrastructure management
The ideal candidate will have a strong background in data engineering, excellent problem-solving skills, and the ability to work collaboratively in a dynamic environment.