Senior Site Reliability Engineer, Data Engineering

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Written by AI from the job title and company, not by Wikimedia Foundation, so some details may not match this job. The employer's own page has the real description.

Overview

The Senior Site Reliability Engineer, Data Engineering at Wikimedia Foundation plays a crucial role in ensuring the continuous and reliable operation of data systems, including the design, implementation, and maintenance of scalable infrastructure. This position requires a deep understanding of data engineering principles while focusing on improving system reliability and operational efficiency. The successful candidate will work collaboratively with cross-functional teams to enhance data pipeline performance, troubleshoot issues, and implement best practices across various data systems. Their expertise will contribute significantly to the Wikimedia Foundation's mission of making knowledge freely accessible to all.

Job Responsibilities

• Design, implement, and maintain robust data pipelines and workflows for high-volume data processing and storage.
• Monitor and improve system performance, reliability, and scalability of data systems.
• Collaborate with engineering teams to develop and implement best practices in data engineering and site reliability.
• Investigate and resolve incidents and outages, performing root cause analysis to prevent recurrence.
• Automate repetitive tasks to streamline operations using Infrastructure as Code (IaC) principles.
• Develop and maintain documentation for systems and processes, ensuring knowledge sharing within the team.
• Conduct performance tuning and optimization of data storage solutions to ensure efficient access and retrieval.
• Participate in on-call rotation for incident response and system reliability improvements.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field; a Master's degree is a plus.
• 5+ years of experience in site reliability engineering, data engineering, or a related discipline.
• Proficiency with programming languages such as Python, Go, or Java.
• Strong experience with cloud services (e.g., AWS, Google Cloud, Azure) and container orchestration tools (e.g., Kubernetes, Docker).
• Familiarity with data processing frameworks like Apache Kafka, Spark, or similar technologies.
• Deep understanding of database systems (e.g., SQL and NoSQL databases) and data modeling.
• Excellent problem-solving skills and ability to work under pressure in a fast-paced environment.
• Exceptional communication skills and the ability to work collaboratively with diverse teams.

Technologies & Tools

This position involves working with a variety of technologies and tools that support data engineering and site reliability engineering practices. Candidates should be comfortable with cloud computing platforms such as AWS or Google Cloud, utilize containerization technologies like Docker and Kubernetes, and have hands-on experience with data processing frameworks such as Apache Kafka and Apache Spark. Familiarity with CI/CD tools and monitoring solutions (e.g., Prometheus, Grafana) is also advantageous.

Ideal Candidates

Ideal candidates for the Senior Site Reliability Engineer, Data Engineering position will exhibit strong problem-solving abilities, critical thinking skills, and a passion for building reliable data systems. They should exemplify a proactive approach to identifying issues and implementing solutions, coupled with a commitment to quality and excellence. Successful individuals in this role will demonstrate adaptability to changing priorities, the ability to thrive in a collaborative team environment, and unwavering dedication to the mission of Wikimedia Foundation in promoting an accessible knowledge ecosystem.