Solutions Engineer

• Create an ETL mapping and/or design document depending on organizational needs.

• Writing ETL code, primarily in Perl and Python, and unit testing it.

• Collaborating with the Support and SWD teams to find fixes for issues that arise during the product lifecycle.

• Build a knowledge base over time to comprehend how data engineering decisions will be influenced by reports and information.

• Assist the leadership team for business intelligence in understanding and/or advancing the requirements for iterative development approach.

• Coordinate coding efforts and encourage pertinent conversations among coworkers.

• The capacity to work in a rapid-fire, iterative setting.

• Take part in design meetings with business analysts, data modelers, and report developers.

• Keep up with new development processes, and as necessary, convey trends and opportunities to management.

• A master’s degree or higher in electrical and computer engineering, information management, or computer science

• 5+ years of experience writing applications; preference for scripting languages (Python, Perl, Bash, etc.).

• 3+ years of practical Linux OS experience.

• 3+ Years in Product, Process, or Semiconductor Yield Engineering

• Expertise with relational databases, including Oracle and Informix, and the capacity to read and write SQL.

• Experience with machine learning and big data (Cassandra, Hadoop, etc.) is preferred.

• Extremely competent, self-driven, and self-reliant individual

• Has excellent English.

PDF Solutions (NASDAQ: PDFS) offers an end-to-end analytics platform that empowers engineers and data scientists across the semiconductor ecosystem to rapidly improve the yield, quality, and profitability of their products. By combining industry-leading data analytics and professional services with exclusive, differentiated product data generated during the manufacturing process, PDF Solutions is delivering on the promise of Industry 4.0 today by transforming how the ecosystem collects, analyzes, and shares data. Key Fortune 500 organizations around the world rely on PDF Solutions to remove the data barriers that encumber and constrain new product introductions and to deliver the machine learning insights that drive efficient and profitable high-volume manufacturing.

Headquartered in Santa Clara, California, PDF Solutions also operates worldwide in Canada, China, France, Germany, Italy, Japan, Korea, and Taiwan