We are seeking a data-driven Entry-Level Data Scientist to join our semiconductor engineering team. This role is ideal for recent graduates who are passionate about applying data science and automation to solve complex engineering challenges and improve the manufacturing process.
We are seeking a data-driven Entry-Level Data Scientist to join our semiconductor engineering team. This role is ideal for recent graduates who are passionate about applying data science and automation to solve complex engineering challenges and improve the manufacturing process.
We are seeking a data-driven Entry-Level Data Scientist to join our semiconductor engineering team. This role is ideal for recent graduates who are passionate about applying data science and automation to solve complex engineering challenges and improve the manufacturing process.
Monitor system health, service performance, and operational metrics using monitoring and observability tools; support the development and maintenance of monitoring, dashboards, metrics, alerting, and related platform components.
continuously improving, monitoring, maintaining, and extending the individual elements of the Data Ecosystem infrastructure in the cloud, e.g., cloud storage, file event queues, and databases, etc.
Design, deploy, and manage scalable Azure infrastructure supporting Data Platform workloads, including Azure VMs, Synapse Analytics, Data Lake, Lakhouse, Databricks, Fabric and related services.
Legacy-to-Cloud Transition: Support the re-architecting and migration of legacy SQL/NoSQL databases and ETL processes to Google Cloud (BigQuery, Cloud SQL).
Lead and manage the Data Engineering team, providing technical direction and support so they deliver secure, consistent and sustainable data solutions.
Legacy-to-Cloud Transition: Support the re-architecting and migration of legacy SQL/NoSQL databases and ETL processes to Google Cloud (BigQuery, Cloud SQL).