Senior SRE Data and Analytics Engineer

This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.

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

Overview

The Senior SRE Data and Analytics Engineer at GEICO will play a pivotal role in overseeing the reliability and performance of data systems and analytics platforms. This position involves collaboration with cross-functional teams to ensure that data processes are efficient, scalable, and secure while utilizing robust monitoring tools. The engineer will be responsible for designing and implementing best practices in data engineering and analytics operations, thus contributing to the overall effectiveness of data-driven decisions across the organization.

Job Responsibilities

• Design, implement, and maintain data pipelines for efficient use and accessibility of analytics.
• Ensure system reliability, availability, and performance through appropriate monitoring and alerting systems.
• Collaborate with development teams to integrate data analytics into software solutions.
• Perform root cause analysis for critical incidents and implement proactive measures to prevent recurrence.
• Develop automation scripts for repetitive tasks and operational processes to improve efficiency.
• Document processes, procedures, and design solutions for future reference and team training.
• Stay updated with industry trends and best practices in site reliability engineering and data analytics.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• At least 5 years of experience in data engineering or site reliability engineering roles.
• Proficiency with data processing frameworks such as Apache Spark, Hadoop, or similar technologies.
• Experience with cloud platforms (AWS, Azure, Google Cloud) and data storage solutions (SQL and NoSQL databases).
• Strong programming skills in languages such as Python, Java, or Go.
• Excellent problem-solving abilities and a keen eye for performance enhancements.
• Experience in CI/CD pipelines and automation frameworks.

Technologies & Tools

The Senior SRE Data and Analytics Engineer will utilize various technologies and tools to enhance data systems and analytics. This includes data processing frameworks like Apache Spark and Hadoop, cloud services such as AWS or Azure, database management systems, and scripting languages like Python. Additionally, the role requires familiarity with monitoring tools and CI/CD automation for efficient data pipeline management.

Ideal Candidates

The ideal candidate for this position is a proactive problem solver with a strong analytical mindset and a passion for performance optimization. They will have demonstrated experience in data-driven decision-making processes and the ability to communicate technical concepts effectively to non-technical stakeholders. A collaborative attitude and the capacity to work in a dynamic team environment are essential traits for success in this role. Moreover, a commitment to continuous learning and adapting to emerging technologies will ensure alignment with GEICO's mission of innovation and excellence.