
High-Performance Data Pipeline Specialist
23 hours ago
We are seeking a highly skilled Data Engineering Expert to design and implement high-performance data pipelines.
The ideal candidate will have experience with big data technologies, such as Spark and Hadoop, and be proficient in Python programming. Strong database performance optimization skills are also required.
In this role, you will work closely with data scientists and product teams to understand data requirements and collaborate on the development of efficient ETL pipelines.
- Main Responsibilities:
- Create scalable batch processing systems using Python and big data technologies.
- Optimize database performance by identifying slow-running queries and implementing latency improvements.
- Use Python profilers and performance monitoring tools to identify bottlenecks.
- Build efficient ETL pipelines that can handle large-scale data processing.
- Collaborate with cross-functional teams to develop data architecture and engineering processes.
Requirements:
- 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).
Preferred Qualifications:
- 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.
About This Role:
This is an excellent opportunity for a talented data engineer to join our team and contribute to the development of high-quality data solutions.
We offer a competitive remuneration package and opportunities for growth and development.
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