Promote DataOps approach to Data science, engineering and analytics delivery processes to automate the provision of data, testing and monitoring and shorten CI/CD.
Collaborate with data & ML leads and create and build optimal data pipeline architecture for the data solutions including data science products
Ensure the data pipelines are scalable and performant as well as creating and maintaining service to connect data products
Create dashboards and other tools required to efficiently monitor our data and ML infrastructure, pipelines, ETL and analytics delivery processes.
Building end-to-end event instrumentation and alerting system to detect and alert any anomaly in the system or in the data
Assist in managing our data and ML infrastructure (upgrading, monitoring, optimising)
Collaborate with IT DevOps engineers and participate in enterprise DevOps activities.
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