
High Performance Data Engineer
1 day ago
About BrightEdge, we're looking for a talented Big Data Engineer to help us scale and optimize our data processing capabilities.
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.
Data Engineering Role- We're seeking a professional with expertise in designing and implementing scalable batch processing systems using Python and big data technologies.
- You'll be responsible for optimizing database performance, focusing on slow-running queries and latency improvements.
- Using Python profilers and performance monitoring tools, you'll identify bottlenecks and implement solutions to reduce P95 and P99 latency metrics across our data platform.
- You'll design and develop efficient ETL pipelines that can handle large-scale data processing.
- Collaborating with data scientists and product teams, you'll understand data requirements and implement data quality checks and validation mechanisms.
- You'll monitor and troubleshoot data pipeline issues in production and document data architecture and engineering processes.
- 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 tools.
- Experience with cloud platforms (AWS, GCP, or Azure).
- Ability to translate business requirements into technical specifications.
- Ability to work in UK timezone (12 PM IST to 9:30 PM IST).
- 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.
- Strong analytical thinking and problem-solving skills.
- Excellent attention to detail and commitment to data quality.
- Ability to work effectively in a collaborative team environment.
- Good communication skills to explain complex technical concepts.
- Self-motivated with the ability to work independently.
- Possession for performance optimization and efficiency.
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