QuinStreet

👥 501-1000💰 almost 18 years agoInternetAdvertisingMarketing📈 Public Company
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QuinStreet connects businesses with potential customers through powerful online performance marketing. We operate a leading network of digital marketplaces, leveraging proprietary technology and AI-driven matching to deliver precise targeting and measurable results for our clients. Our pay-for-performance model ensures brands only pay for successful lead generation, making us a trusted partner in the industry. Our engineering teams utilize a robust tech stack, including Amazon Web Services (AWS), Cloudflare CDN, and various data visualization and analytics tools like Tableau and Redshift. We value a collaborative and innovative culture, fostering a supportive environment for engineers to build and optimize high-impact systems. We embrace data-driven decision-making and continuously strive to improve our processes and technologies. QuinStreet offers a remote-friendly work environment, allowing for a flexible and geographically diverse team. As a publicly traded company with a significant market presence, we are committed to continuous growth and innovation. Our 20+ year history and billions of dollars in online media experience demonstrate our established expertise in the performance marketing space. We offer a range of opportunities for career advancement and growth within a dynamic and challenging environment. QuinStreet prioritizes data-driven decision making and utilizes a modern tech stack to ensure optimal system performance and the creation of highly scalable digital marketing solutions. We encourage collaboration among various teams and offer opportunities for continuous professional development. The company is committed to equal opportunities and provides a robust benefits package, further underscoring its investment in its employees.

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🔍 Digital Media

  • Solid experience in SQL for querying databases, data manipulation, and troubleshooting.
  • Proficiency in Tableau for data visualization and reporting.
  • Strong skills in Excel, including advanced formulas and data analysis techniques.
  • Familiarity with Amazon Redshift for data warehousing and querying large datasets.
  • Experience with MS SQL Server for database management and querying.
  • Familiarity with Python scripting for automation and monitoring is a plus.
  • Experience with alerting tools like DataDog is preferred.
  • Understanding of data engineering concepts and cloud-based environments (AWS, GCP, Azure).
  • Monitor application performance using alerting tools.
  • Respond to and resolve escalated production issues to minimize disruption.
  • Own the post-mortem process for production outages and document findings.
  • Collaborate with cross-functional teams for effective communication and alert coverage.
  • Maintain comprehensive documentation on production incidents and actions taken.
  • Participate in on-call support duties.
Posted 6 days ago
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