Senior Dataflow and DevOps Engineer
Join a semiconductor IP company’s software team to build and maintain data services, pipelines, database tooling, and engineering automation supporting its evaluation platform and customer delivery workflows.
Обязанности
- Design and maintain data pipelines, ETL/ELT flows, and integrations between internal engineering systems.
- Own the company’s DevOps framework and engineering automation infrastructure.
- Build tools to improve data processing and development workflows.
- Develop and optimize database services, queries, indexing, stored procedures, performance, and monitoring.
- Maintain data security, permissions, access control, and data integrity.
- Collaborate across teams to address technical issues and improve internal and customer-facing platforms.
Требования
- Bachelor’s degree or higher in computer science, software engineering, electrical engineering, information systems, or a related field.
- At least 8 years of experience in dataflow development, DevOps, backend engineering, data engineering, or a similar role.
- Strong Python and SQL skills, including query optimization, indexing, stored procedures, and performance tuning.
- Experience with data pipelines, ETL/ELT, system integrations, automation scripting, Docker, Kubernetes, Jenkins, and CI/CD.
- Familiarity with Linux and Windows, database maintenance and recovery, access controls, data security, Git, Jira, and Agile workflows.
- Strong English listening, speaking, and reading skills (C1–C2).
Будет плюсом
- Experience with CloudBees, Artifactory, relational or NoSQL databases, cloud database services, and database schema design.
- Knowledge of database replication, clustering, high availability, disaster recovery, and backup strategies.
- Experience with AI agents, automation, BI or data visualization tools, or R&D, semiconductor, embedded, or hardware/software engineering.
- Experience with MAL datasets and Python libraries, or Java.