Senior Data Engineer
Core
Design and implement data models and ETL pipelines to transform raw semiconductor manufacturing data into analytics-ready assets using lakehouse technologies.
Role type
Senior Data Engineer (Semiconductor Manufacturing)
Builds
Scalable data pipelines, data models, and analytics-ready data products for downstream analytics and reporting.
Domain
Semiconductor manufacturing / Industrial IoT / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python/PySpark, OLAP databases, lakehouse table formats (Apache Iceberg, Delta Lake), ETL/ELT patterns, data orchestration
Preferred skills
Data Vault 2.0 modeling, ISA-95 hierarchy, SEMI standards, data quality frameworks, Databricks experience
Technologies
Spark, Apache Iceberg, Delta Lake, OLAP SQL Engines, Redshift, BigQuery, Druid, Clickhouse, StarRocks, Airflow, Databricks
Responsibilities
Design and implement data models for manufacturing data domains; Build ETL/ELT pipelines using PySpark and SQL; Develop data transformations aligned with ISA-95 hierarchy and SEMI standards; Create business vault and information marts; Implement data quality checks and expectations; Optimize query performance by optimizing partitioning, clustering, and/or indexing strategies.
Seniority
Senior, hands-on IC