Sr. IT Engineer
Core
Design, develop, and implement scalable data pipeline architectures and manage data ingestion, processing, and distribution.
Role type
Senior IC data engineering engineer (MLOps & data pipelines)
Builds
Scalable data pipelines, data warehouses, and automated systems solutions
Domain
Semiconductor / Data Engineering / MLOps
Deliverable
production ML models
Required skills
Kafka, Spark, Flink, Apache Iceberg, PostgreSQL, MySQL, SQL, Ansible, Airflow, Python, Deep Learning, MLOps, Object-Oriented Design
Preferred skills
None stated
Technologies
Kafka, Spark, Flink, Apache Iceberg, PostgreSQL, MySQL, Ansible, Airflow
Responsibilities
Design and implement scalable data pipeline architectures; Manage data ingestion, processing, and distribution; Optimize data pipelines for performance and scalability; Implement data governance and security measures; Troubleshoot and resolve data pipeline issues; Monitor data pipeline performance; Analyze and resolve database or system performance issues; Model, design, and construct large relational databases or data warehouses.
Seniority
Senior, hands-on IC
