Responsibilities

• Build and maintain data/solution pipelines that ingest new requirements, with AI support to accelerate data onboarding and quality checks.
• Work in a technical team through development, deployment, and application of tools and systems for extracting new insights from expanding data streams, driving AI-enabled analytics at scale.
• Develop, automate, and orchestrate an ecosystem of ETL processes for varying volumes of data.
• Design and optimize data structures in data management systems (Snowflake, Google Cloud Platform) to enable Smart Manufacturing AI solutions.
• Determine transformation requirements and develop processes to bring structured and unstructured data from source to a new physical data model.
• Build custom software components and analytics applications, with AI support to enhance intelligence and automation.
• Create and maintain CI/CD pipelines for data engineering solutions in the ...