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BrightEdge

Big Data Engineer- Professional Services

Fully Remote Engineering
Added
17 days ago
Location
Type
Full time
Salary
Not Specified

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Related skills

sql nosql python kubernetes hadoop

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.

Key Responsibilities

  • Design and implement scalable batch processing systems using Python and big data technologies
  • Optimize database performance, focusing on slow-running queries and latency improvements
  • Use Python profilers and performance monitoring tools to identify bottlenecks
  • Reduce P95 and P99 latency metrics across our data platform
  • Build efficient ETL pipelines that can handle large-scale data processing
  • Collaborate with data scientists and product teams to understand data requirements
  • Monitor and troubleshoot data pipeline issues in production
  • Implement data quality checks and validation mechanisms
  • Document data architecture and engineering processes
  • Stay current with emerging big data technologies and best practices

    • Qualifications

  • 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

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