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Data Architectural Specialist
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We are seeking an experienced Data Engineer to design, build and maintain high-performance data pipelines that process massive amounts of data. As a key member of our team, you will play a critical role in ensuring our data infrastructure can handle increasing volumes of data while maintaining exceptional performance standards.
About the Role:
You will be responsible for designing and implementing scalable batch processing systems using Python and big data technologies. You will also optimize database performance, focusing on slow-running queries and latency improvements. Additionally, you will use Python profilers and performance monitoring tools to identify bottlenecks, reduce P95 and P99 latency metrics across our data platform, and build efficient ETL pipelines that can handle large-scale data processing.
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.
Qualifications:
To be successful in this role, you will need a Bachelor's degree in Computer Science, Engineering or a related technical field. You will also require 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, and experience with cloud platforms (AWS, GCP, or Azure).
Bonus Qualifications:
A Master's degree in Computer Science or a 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, and experience with machine learning operations would be advantageous.
What We Offer:
In return for your expertise, we offer a competitive salary, a dynamic work environment, opportunities for professional growth and development, and a collaborative team culture. If you have a passion for performance optimization and efficiency, and are looking for a challenging and rewarding career opportunity, please submit your application today.
