Senior Data Engineer

3 weeks ago


Singapore Crypto Full time
Job Description:

The Quant Trading team at Crypto.com is responsible for trading and managing risks associated with different crypto products, including spots and derivatives. The team develops and implements trading strategies in fast-paced and complex trading environments.

We are seeking a Senior Data Engineer with deep expertise in ClickHouse and AWS infrastructure to support our dynamic Trading Analytics team. This role will be crucial in designing, implementing, and managing scalable data systems for large datasets, ensuring optimal performance, availability, and maintainability.

Key Responsibilities:
  • Design and implement scalable ClickHouse infrastructure for large datasets.
  • 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.

About Crypto.com:
Crypto.com is a global cryptocurrency platform that serves more than 80 million customers. Our vision is simple: Cryptocurrency in Every WalletTM. Built on a foundation of security, privacy, and compliance, Crypto.com is committed to accelerating the adoption of cryptocurrency through innovation and empowering the next generation of builders, creators, and entrepreneurs to develop a fairer and more equitable digital ecosystem.
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