Snowflake, Databricks, Apache Spark. Exp with cloud-based data platforms (AWS, GCP, Azure). Data architecture
or Spark. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud). Knowledge of natural language
or Spark. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud). Knowledge of natural language
inventory. This includes Cloud servers and On-premises servers Office 365 cloud services configuration
(advantageous) WebSphere JavaScript, CSS, HTML Cloud experience - Azure or AWS If you are interested
such as: Machine Learning Big data AWS & Azure Cloud Computing Robotic Process Automation Artificial
will drive the development and management of our cloud and on-premises data pipelines, ensuring the seamless
will drive the development and management of our cloud and on-premises data pipelines, ensuring the seamless
framework. Extensive knowledge of Azure services and cloud-based development. Proficiency in Angular and front-end
framework. Extensive knowledge of Azure services and cloud-based development. Proficiency in Angular and front-end