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Senior, niche Ab Initio semiconductor data role reduces applicant density despite metro location.
Requires Ab Initio and semiconductor manufacturing data expertise, limiting cross-industry transferability.
Many mandatory technologies, senior leadership expectations, and explicit experience increase filter rigidity.
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Design, build, optimize, and govern enterprise-scale data infrastructure and pipelines for semiconductor manufacturing data.
Lead complex, cross-functional data engineering projects with expertise in Ab Initio, data warehouse design, ETL architecture, and cloud data platform integration.
Provide technical leadership and mentorship to engineering teams; ensure security, scalability, and maintainability of data products and pipelines.
Strong experience in data warehouse design, ETL development, and data modeling (logical and physical schemas).
Hands-on expertise with Ab Initio tools (GDE, Co>Operating System, EME, Conduct>It, Express>It, DML, XFR), and managing enterprise-scale ETL pipelines.
Experience with AWS cloud services (EMR, Redshift/Postgres) and other cloud/ETL technologies like Databricks and Snowflake.
Work Experience Required: Minimum 15 years in data warehouse design, ETL development, performance tuning, and optimization.
Senior-level data engineering professional with deep technical and architectural expertise in enterprise data solutions for high-volume, complex environments.
Experience in semiconductor or high-tech manufacturing domain preferred but not explicitly required.
Strong problem-solving skills with a background in root cause analysis, data governance, and documentation of complex data flows and business processes.