Senior Data Engineer at Red Hat designing and optimizing 데이터 솔루션 supporting sales and forecasting. Collaborating with teams and applying modern data engineering practices to ensure data quality.
About the role
- Senior Data Engineer for Semrush, developing scalable data pipelines and optimizing data systems. Collaborating with teams for analytics and mentoring junior engineers in best practices.
Responsibilities
- Lead the Design and development of scalable data pipelines and infrastructure
- Optimize the performance of data systems and troubleshoot complex data issues
- Collaborate with data scientists to ensure data is structured and available for advanced analytics
- Mentor and guide junior data engineers, providing technical leadership and support
- Ensure data security, privacy, and compliance with organizational policies
- Manage the integration of new data sources and ensure data quality
- Continuously evaluate and adopt new technologies to improve data engineering practices
- Contribute to architecture decisions
Requirements
- High level of proficiency in Python, SQL
- Good knowledge of Linux and Unix Shell scripting
- Experience with GCP, or other cloud providers
- Experience with Airflow or similar workflow orchestration tools
- Experience with column and/or transactional databases
- Understanding of distributed systems and scalable data architectures
- Experience writing clean, maintainable, and well-tested code
- Strong sense of delivery ownership, balancing speed of execution with adherence to established engineering standards, best practices, and quality requirements
- Shipping solutions efficiently without compromising code quality, reliability, or maintainability, even under tight timelines
- Actively driving alignment and collaboration across cross-functional teams
- Not required, but a plus: Experience with ClickHouse; Pipeline testing experience in Airflow (DAG validation, unit/integration testing); Expertise with containerisation and infrastructure-as-code (Docker, k8s, Terraform); Familiarity with monitoring and logging tools (Grafana, Prometheus, ELK); Hands-on experience with CI/CD pipelines and automated deployment workflows
Benefits
- Flexible working hours
- Unlimited PTO
- Flexi Benefit for your hobby
- Employee Support Program
- Loss of family member financial aid
- Employee Resource Groups
- Meals, snacks, and drinks at the office
- Corporate events
- Teambuilding
- Training, courses, conferences
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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