Senior Solutions Engineer

PDF Solutions, Inc.; Santa Clara (CA); On-site; USD 130,000 - 180,000; Full time

Job summary

PDF Solutions, Inc. in Santa Clara, CA is seeking an experienced data engineer to join our ETL and analytics team.

You will design and implement ETL mappings, write and test Perl and Python code, and collaborate with support and SWD to resolve issues across the product lifecycle. The ideal candidate has a master’s degree, 5+ years of software development, strong SQL and Linux skills, and hands-on ML/big data experience with Cassandra and Hadoop.

Qualifications

• Master's degree or higher in a relevant field.
• 5+ years of experience writing applications; scripting languages preferred.
• 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 SQL.
• Experience with machine learning and big data (Cassandra, Hadoop) preferred.
• Excellent self-drive and English proficiency.

Responsibilities

• Create an ETL mapping and/or design document.
• Write ETL code in Perl and Python and unit test it.
• Collaborate with Support and SWD teams to fix issues.
• Build a knowledge base to guide data engineering decisions.
• Assist leadership for business intelligence requirements.
• Coordinate coding efforts and foster communication.

Skills

Python

Perl

Bash

SQL

Machine Learning

Big Data

Excellent English

Education

Master's degree or higher in Electrical and Computer Engineering, Information Management, or Computer Science

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.

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 decisionswill be influencedby 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 arapid-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.