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Senior level and niche Ab Initio skillset reduce applicants, but data engineering demand keeps competition moderate.
Niche Ab Initio expertise and semiconductor manufacturing context limit cross-industry transferability.
Explicit 15+ years requirement plus mandatory Ab Initio and cloud ETL expertise creates strict candidate filters.
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Design, build, optimize, and govern enterprise data infrastructure and data pipelines for semiconductor manufacturing engineering and production 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 including mentoring engineers, setting design standards, evaluating access control, and developing technical documentation.
Strong hands-on expertise in Ab Initio technologies and enterprise-scale ETL development and support.
Experience with AWS cloud services (EMR, Redshift/Postgres) and familiarity with Databricks, Snowflake, Python, and Java.
Experience owning production data pipelines including incident triage, SLA management, root cause analysis, and operational handoff.
Work Experience Required: Minimum 15 years in data warehouse design, ETL development, performance tuning, and optimization.
Highly experienced senior data engineer with extensive knowledge in data warehouse architecture and scalable data pipelines for high-volume data environments.
Proven ability to lead and deliver complex data engineering projects integrating multiple data sources in semiconductor or related high-tech manufacturing domains.
Strong strategic focus on data governance, secure data handling, and operational excellence including mentoring and standard-setting roles.