Expert Data Architect for Trading Analytics
1 week ago
Discover a career-defining opportunity as an Expert Data Architect for Trading Analytics at Crypto.com, the world's fastest-growing global cryptocurrency platform.
About UsCrypto.com serves more than 80 million customers and is committed to accelerating the adoption of cryptocurrency through innovation. Our vision is simple: Cryptocurrency in Every WalletTM. Built on a foundation of security, privacy, and compliance, we empower the next generation of builders, creators, and entrepreneurs to develop a fairer and more equitable digital ecosystem.
SalaryWe offer a highly competitive salary of $180,000 - $220,000 per annum, reflecting the importance of this role in shaping our trading analytics capabilities.
Job DescriptionWe are seeking a Senior Data Engineer with deep expertise in ClickHouse and AWS infrastructure to join our dynamic Trading Analytics team. This role will be crucial in supporting our data engineering needs across various trading, middle office, and trade capture systems. The ideal candidate will have a strong background in Python for ETL, AWS cloud infrastructure, and experience with data orchestration tools such as Airflow and Kafka.
The successful candidate will design, implement, and manage scalable ClickHouse infrastructure for large datasets, ensuring optimal performance, availability, and maintainability. They will develop robust, scalable ETL pipelines using Python to handle data ingestion, transformation, and storage. Additionally, they will collaborate with infrastructure teams to ensure proper AWS setup, covering everything from EC2, S3, RDS, Lambda, and more.
This role also involves building and maintaining data orchestration workflows using Airflow and integrating Kafka for real-time data streaming and processing. The successful candidate will work closely with cross-functional teams, including trading, risk management, and middle office, to ensure the data infrastructure supports all business needs.
Required Skills and Qualifications- A minimum of 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.
We offer a comprehensive benefits package that includes:
- Competitive salary of $180,000 - $220,000 per annum.
- Medical insurance package with extended coverage to dependents.
- Attractive annual leave entitlement.
- Flexi-work hour and hybrid or remote set-up options.
- Aspire career alternatives through our internal mobility program.
- Crypto.com visa card provided upon joining.
Please note that our benefits packages vary depending on region requirements.
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