Data Engineer

Within the Productization Data Tools team, you will assume the responsibility for developing and maintaining the software systems that underpin our data operations. Your role will entail close collaboration with data scientists, analysts, and product teams to establish reliable, high performing, and scalable data solutions. Your responsibilities will encompass designing data architectures, optimizing data processing workflows, and ensuring data quality and governance throughout our systems. Design and implement scalable data pipelines and processing systems Parse and process text logs and STDF Develop and optimize database performance and query efficiency Implement data quality monitoring and validation frameworks Collaborate with data scientists to productize machine learning models Monitor system performance and troubleshoot data infrastructure issues Bachelors Degree plus 3 years of relevant experience (Degree in Computer Science, Software Engineering, or a related) Three or more years of experience in software development, with a specific focus on data systems Proficiency in Python programming language Experience with Oracle SQL and database design principles Experience with Linux operating systems Proficiency in version control systems (Git) Strong problem-solving and analytical abilities Excellent communication and collaboration skills Experience in semiconductor or high-tech research and development (R&D) and manufacturing environments Master’s degree in computer science, data engineering, or a related field 5+ years of experience in data engineering or data-focused software development Experience with Cassandra NoSQL database Familiarity with machine learning workflows and machine learning operations (MLOps) practices Experience with data visualization tools and business intelligence platforms

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