Join a Data Engineering Team as a Senior DevOps to support multiple Data & AI initiatives. Utilize cloud technologies and enhance data pipelines in a collaborative environment.
Responsibilities
Support the development team on operational aspects of data pipeline
Ensure security and promote secure coding practices throughout the development lifecycle
Collaborate with cross-functional teams to design and implement scalable and secure data solutions
Utilize AWS services to manage and optimize cloud infrastructure
Implement infrastructure as code using tools like Terraform
Work with Databricks and Snowflake to manage and analyze large datasets
Requirements
5 to 8 years experience in a DevOps role
A Bachelor's degree in Computer Science, Software Engineering, or any combination of education and equivalent experience
5 years of experience in an AWS cloud environment
Experience with AWS services (S3, Lambda, CloudWatch)
Hands-on experience with Terraform, GitHub, GitHub Actions, and Jenkins
Proficiency in Python
Experience in a Databricks and Snowflake environment is a significant asset
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