Key Responsibilities:
- Design, implement, and manage scalable ClickHouse infrastructure for large datasets, ensuring optimal performance, availability, and maintainability.
- Develop robust, scalable ETL pipelines using Python to handle data ingestion, transformation, and storage.
- Collaborate with infrastructure teams to ensure proper AWS setup, covering everything from EC2, S3, RDS, Lambda, and more.
- Build and maintain data orchestration workflows using Airflow and integrate Kafka for real-time data streaming and processing.
- Work closely with cross-functional teams, including trading, risk management, and middle office, to ensure the data infrastructure supports all business needs.
- Optimize performance and scalability of data pipelines, ensuring data integrity and accuracy.
- Monitor and troubleshoot data infrastructure, implementing best practices for data governance and security.
- Mentor junior engineers and provide technical leadership within the team.
Qualifications:
- 8+ years of experience in data engineering, with a focus on building and managing large-scale data systems.
- Strong hands-on experience with ClickHouse, both in infrastructure setup and operational use.
- Proficiency in Python, especially for building ETL pipelines and data workflows.
- Deep understanding of AWS infrastructure, including networking, storage, compute, and security.
- Experience with data orchestration and workflow automation using Airflow.
- Familiarity with Kafka for building real-time data pipelines.
- Exposure to trading, crypto, middle office, or trade capture/trade matching systems is a significant plus.
- Experience or knowledge in machine learning and AI is a bonus.
- Strong problem-solving skills, attention to detail, and the ability to work under pressure in a fast-paced environment.
Preferred Skills:
- Experience in financial services, particularly in trading or crypto environments.
- Ability to work with diverse stakeholders to gather requirements and deliver solutions that meet business needs.
- Familiarity with database optimization, query performance tuning, and monitoring tools.
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