Overview
Role involves developing and maintaining data pipelines and collaborating with various teams to enhance data infrastructure.
Ideal candidate should have proven experience in data infrastructure with strong skills in Python and Kubernetes.
137k cad / yearremoteseniorEnglishPythonKubernetesPySparkDatabricksAirflowAWSSparkSnowflakeDockerKafkaPostgresMongoDB+ 4 more
Locations
Requirements
Experience in Site Reliability Engineering or MLOps Knowledge of data engineering principles Proficient in Python and Kubernetes
Responsibilities
Develop and maintain data pipelines Collaborate with Infrastructure SREs and Data Engineers Lead DataOps and MLOps initiatives Integrate with partners for data ingestion and export Support diner analytics projects Utilize generative AI for content summarization Monitor and maintain production systems Build and deploy robust data solutions
Benefits
Dental & Vision Insurance Life & Disability Insurance