Big Data Engineer

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August 25

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BrightEdge

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SaaS • B2B • Enterprise

BrightEdge is a leading provider of an enterprise SEO platform that helps marketers engage customers across the entire customer journey. This platform provides real-time research, recommendations, and rankings, which empower businesses to optimize their digital content and improve their visibility online. BrightEdge's solutions include tools for keyword research, content creation, SEO tracking, and performance monitoring, helping companies improve their content marketing strategies and increase ROI. With AI-powered insights, BrightEdge supports digital and content marketers, SEOs, and executives in making data-driven decisions to stay ahead of competitors. The company serves a wide range of customers, including top retailers, hotel groups, and Fortune 100 companies.

201 - 500 employees

Founded 2007

☁️ SaaS

🤝 B2B

🏢 Enterprise

💰 $42.8M Series D on 2013-06

📋 Description

• About Us • BrightEdge is a leading SEO and content performance marketing platform that transforms online content into tangible business results. Our platform processes massive amounts of data to provide actionable insights to our clients. We're looking for a talented Big Data Engineer to join our Professional Services to help us scale and optimize our data processing capabilities. • Role Overview • As a Big Data Engineer at BrightEdge, you will design, build, and maintain high-performance data pipelines that process terabytes of data. You'll work on optimizing our existing systems, identifying and resolving performance bottlenecks, and implementing solutions that improve the overall efficiency of our platform. This role is critical in ensuring our data infrastructure can handle increasing volumes of data while maintaining exceptional performance standards.

🎯 Requirements

• Required • Bachelor's degree in Computer Science, Engineering, or related technical field •4+ years of experience in data engineering roles •Strong Python programming skills with focus on data processing libraries •Experience with big data technologies (Spark, Hadoop, etc.) •Proven experience optimizing database performance (SQL or NoSQL) •Knowledge of data pipeline orchestration tools (Airflow, Luigi, etc.) •Understanding of performance optimization techniques and profiling tool •Preferred •Master's degree in Computer Science or related field •Experience with SEO data or web crawling systems •Experience with Clickhouse Database •Knowledge of distributed systems and microservices architecture •Familiarity with container orchestration (Kubernetes, Docker) •Experience with real-time data processing •Contributions to open-source projects •Experience with machine learning operations