Senior Solutions Engineer

PDF Solutions

Santa Clara (CA)

On-site

USD 130,000 - 180,000

Full time

4 days ago
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Job summary

PDF Solutions in Santa Clara, CA, seeks a data engineering specialist to design and implement ETL processes. You will map and design ETL workflows, write code in Perl and Python, and unit test solutions to ensure data quality.

You will collaborate with Support and SWD teams, build a knowledge base on data engineering decisions, and participate in design meetings with analysts and report developers to drive iterative improvements in a fast-paced environment.

Qualifications

  • Master's degree in electrical/computer engineering, information management or computer science.
  • 5+ years of experience writing applications; preference for scripting languages (Python, Perl, Bash).
  • 3+ years of practical Linux OS experience.
  • 3+ years in Product, Process, or Semiconductor Yield Engineering.
  • Experience with relational databases including Oracle and Informix; ability to read/write SQL.
  • Experience with machine learning and big data (Cassandra, Hadoop) is preferred.
  • Extremely competent, self-driven, and self-reliant; excellent English.

Responsibilities

  • Create an ETL mapping and/or design document depending on organizational needs.
  • Write ETL code, primarily in Perl and Python, and unit testing it.
  • Collaborate with Support and SWD teams to fix issues during the product lifecycle.
  • Build a knowledge base to understand how data engineering decisions affect reports and information.
  • Assist leadership for business intelligence in iterative development requirements.
  • Coordinate coding efforts and encourage communication among coworkers.
  • Work in a rapid-fire, iterative setting.
  • Participate in design meetings with analysts, data modelers, and report developers.
  • Keep up with new processes and convey trends and opportunities to management.

Skills

Python
Perl
Bash
SQL
Linux
Machine learning
Big data
Communication

Education

Master's degree in EE/CS/Information Management

Tools

Oracle
Informix
Cassandra
Hadoop

Job description

Overview

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.

Overview

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

Responsibilities
  • 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.
Qualifications
  • 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.
Pay Range

USD $130,000.00 - USD $180,000.00 /Yr.

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