and accountable. These are ourvaluesand influence everything we do. Preferred Qualifications Familiarity building scalable services in a microservices architecture. Familiarity with statistical tools such as SAS, or Python (with NumPy, SciPy, Pandas) Familiarity with public cloud platforms, such as AWS, Azure, or GCP. Strong testing automation experience, preferably in unit frameworks Diverse and Inclusive At SAS, it's not about More ❯
with the ability to write ad-hoc and complex queries to perform data analysis. Experience developing data pipelines and data warehousing solutions using Python and libraries such as Pandas, NumPy, PySpark, etc. You will be able to develop solutions in a hybrid data environment (on-Prem and Cloud). Hands on experience with developing data pipelines for structured, semi-structured More ❯
You Experience with test equipment (oscilloscopes, VNAs, SMUs) and automation tools (e.g. Python, TestStand). Experience with ATE systems Strong analytical skills and experience with data tools (e.g. JMP, numpy). Hands-on experience with probers/handlers. If you would like to be considered for the Product Test Engineer opportunity or would like further information, please contact Luke Ord. More ❯
You Experience with test equipment (oscilloscopes, VNAs, SMUs) and automation tools (e.g. Python, TestStand). Experience with ATE systems Strong analytical skills and experience with data tools (e.g. JMP, numpy). Hands-on experience with probers/handlers. If you would like to be considered for the Product Test Engineer opportunity or would like further information, please contact Luke Ord. More ❯
