MLOps Data Engineer

Description

Experience with data pipeline and workflow management tools: Airflow, Kubeflow etc.
Experience with cloud services, preferably Google Cloud Platform Services like Vertex AI, Cloud Function etc.
Experience in container management solution: Kubernetes, Docker
Experience in scripting language: Bash, PowerShell etc.
Experience in DevOps: Jenkins/Tekton etc.
Experience with Infrastructure as code: Terraform etc
Writing and reviewing code in a programming language such as Python, PySpark, R etc.
Prior Experience in architecting, designing and development Data Management and Analytics tools and platforms, ETL & Data Warehouse systems is a plus.
Experience in Customer Data Platforms (CDP) associated Services and techs will be Plus.
Experience in delivering cloud engineering product
Experience in programming concepts such as Paired Programming, Test Driven Development, etc.
Experience in supporting continuous improvement by investigating development alternatives.
Experience applying agile practices to solution delivery.
Experience in all phases of the development lifecycle.
Must be team-oriented and have excellent oral and written communication skills.